Final report for ONE22-424
Project Information
This project sought to optimize production systems for winter pea and lentil production systems in the Northeast and evaluate suitability of currently available germplasm. To identify regionally adapted winter grain pea cultivars, we compared performance of ten commercially available cultivars in two years of replicated trials and complementary unreplicated on-farm trials. Pea plots were planted in biculture with triticale or winter oat. Stand count and vigor were rated in both fall and spring; plant height, lodging, and disease were rated in early summer. Grain yield and biomass were harvest in mid-late summer, and crude protein analysis was performed. In Year 1 – a normal-to dry year – significant differences were found among varieties for all traits (p<0.05 to p<0.001) except weed biomass (NS) in replicated trials. Shorter varieties with more stems – like Blaze, Vail, and Goldenwood – ranked higher for grain yield in both replicated and on-farm trials. The Year 2 replicated trial – in a high-moisture field – showed significant differences among varieties for all traits (p<0.01 to p<0.001) except spring stand, total biomass, and triticale yield (NS). Top ranked varieties were KeystoneIcicle and Icicle, two vining, indeterminate cultivars that had mid-range to low yields in Year 1. Two-year analysis identified two varieties – Kurtwood and Goldenwood – that provided above-average yield in two very different growing seasons at both research and on-farm plots. We identified Blaze and Vail as varieties that performed well in drier conditions and KeystoneIcicle as a variety that excelled in a wet, disease-prone field. While vining, indeterminate pea cultivars performed well in higher-moisture conditions, harvest was only feasible with equipment capable of picking up large, lodged plants.
To identify an optimal seeding rate for ‘Morton’ winter lentil in the Northeast, we tested winter lentil seeding rates (25, 32.5, 40, 47.5, and 55 lb/acre) in two years of replicated trials and unreplicated on-farm trials. Stand count was rated in both spring and fall; biomass and grain yield were harvested in mid-late summer. The first year’s trials suffered from weed competition and showed no significant difference among treatments in stand count, grain yield, or biomass (NS), but they motivated us to add a winter oat nurse crop to second-year plantings. Year 2 establishment was strong, with significant differences in spring stand observed between the highest and lowest seeding rates (p<0.001). However, these differences in lentil plant density among seeding rate treatments did not result in significant differences in weed biomass, lentil yield, or oat yield (NS). While this experiment did not reveal a definitive ideal seeding rate for winter lentils, both on-farm and replicated results suggest that modest-to-no yield is gained from plant populations greater than 30 plants per quarter-meter-squared, or approximately 486,000 plants per acre. This approximate stand count was achieved with 40 lbs/ac in both replicated and unreplicated trials, and additional plant density in the replicated trials did not produce substantially greater yield. Notably, use of a winter oat nurse crop allowed successful establishment of winter lentil, while monoculture planting did not.
In addition to the farmer who hosted experimental plots on his farm, 294 farmers and 98 agricultural educators or service providers participated in two on-farm demonstrations, three tours, three presentations, and four field days.
Optimize production systems for winter pea and lentil production systems in the Northeast, evaluate suitability of currently available germplasm, and assess profitability of winter pulses as a farm enterprise. This work will also inform future efforts to develop regionally adapted cultivars.
Objective 1:
Compare performance of available winter pea and winter lentil cultivars and/or breeding lines. Material will be sourced from the USDA-ARS, other public breeding programs and commercial seed companies.
Outcome 1: Identify regionally adapted cultivars and breeding lines to inform farmer decision-making and future regional breeding efforts. Increase adoption of these new crops in a profitable crop rotation.
Objective 2:
Test seeding rates of winter lentil in monoculture.
Outcome 2: Identify optimal seeding rate of winter lentil in the Northeast. Create and disseminate optimized agronomic recommendations for farmers to grow winter lentil.
Objective 3:
Compare yields of Northeast-grown winter lentil and pea to Western production. Assess profitability, accounting for available market premiums and transportation costs and compare to other Northeast pulse crops (soybean, dry bean) as well as Western grown pea and lentil.
Outcome #3: Determine profitability of winter lentil and pea production in the Northeast. Share information with farmers to better inform decision making around crop adoption.
There is high demand for Northeast-grown pulses for both food and feed markets at a premium price. Currently, grain pea is in high demand as an ingredient in livestock feed, but is predominantly imported from other regions such as Western Canada. This has been challenged, however, by lack of supply to meet demand on the commodity market due to crop failures in centers of production (MH Martens, personal communication). There is also increasing industry interest regionally in sourcing food-grade peas for pea protein (P Martens, personal communication). This demand is aided by proximity to large consumer markets, which reduces transportation costs. Reliably profitable production in this region, however, is dependent on identification of material adapted to regional climate and identification of best agronomic practices. This information is currently lacking with few to no commercial producers of winter pea and winter lentil for grain in the Northeast.
This project was initiated due to specific farmer request for research into winter lentil and pea production in the Northeast by our partner farmer, Peter Martens as well as other farmer collaborators. Early efforts to commercialize winter lentil in the Finger Lakes of New York state have yielded several years of successful production and extremely high market demand. Other farmers are interested in growing winter pea intercropped with triticale for use as a mixed livestock feed, especially with the high price of soybean (MH Martens, personal communication; J. Degni, personal communication). The ability to grow high-protein crops on farm reduces reliance on externally purchased feed and supports consumer demand for soy-free livestock products. All farmers, however, have been limited by lack of knowledge as to whether these crops can successfully be grown in the Northeast, and if so how to do so.
Diverse crop rotation is fundamental to successful organic field crop production for the purposes of interrupting pest cycles and improving soil heath (Bolluyt et al. 2020). Integration of pulse crops into cereal crop rotations has been shown to result in higher and more stable farm incomes in most climatic regions (Vann et al. 2018). Winter pea and lentil have potential for greater yield in the Northeast than spring-planted cool season pulses as fall-planted varieties flower earlier in the spring, reducing flower drop from high temperatures. Winter pulses also have potential to be an important adaptive management tool for farmers in the face of increasingly unpredictable spring planting weather, offering a fall-planted cash crop alternative to small grains and avoiding spring tillage in sub-optimal conditions that can reduce soil health (Vann et al. 2018).
Preliminary trials for winter pea and lentil have indicated that they can be successfully and profitably grown in the region. This profitability is the result of higher consumer willingness-to-pay for regionally grown pulses, as well as reduction in transportation costs compared to Western-grown crops (P Martens, personal communication).
This project was initiated based on past regional research trials in the Northeast and Southeast (Mallory and Molloy 2016; Thavarajah 2021), as well as regional farmer interest. If funded, this research will be conducted collaboratively with a well-established organic farming family in New York that also owns and manages processing facilities for food-grade and feed grade grains and pulses, as well as producing organic livestock feed sold throughout the Northeast. In the short term, this research will provide much-needed knowledge to growers interested in producing winter lentil and pea by identifying regionally appropriate cultivars and agronomic practices. Outreach surrounding this research will encourage adoption of these crops by regional growers. In the long term this work will provide valuable preliminary data for regional plant breeding efforts for cool-season pulse crops, which is a focus of PI Moore’s breeding program at Cornell.
Cooperators
- - Producer
- (Researcher)
- (Researcher)
Research
Winter Lentil Variety Trial
We were unable to identify winter lentil varieties other than "Morton" currently available to test in our trials, despite communication with several pulse breeders. Given the paucity of commercially available winter lentil varieties, we focused on seeding rate trials for 'Morton', the one widely available variety.
Winter Lentil Seeding Rate Trial
Experimental Design: A winter lentil seeding rate trial was planted at the Homer C. Thompson Vegetable Research Farm (Freeville, NY) and at Peter and Hanna Martens Farm (Penn Yann, NY). The trial was planted on October 3, 2022 at the research station and on October 6, 2022 at the farm. Using the check variety “Morton”, five seeding rates were tested: 25, 32.5, 40, 47.5, and 55 lb/acre. At the research station, we planted the experiment as a spatially balanced randomized complete block design with four replications. We planted a single replication for the on-farm trial trial. At the research station, plots were 4.5' x 15', and at the farm they were 29.5' x 320' (approximately 0.22 acres per plot).
In Year 2, the replicated lentil seeding rate trial was planted on September 28, 2023 at McGowan Farm, a Cornell University Campus Area Farm (Ithaca, NY) in 4.5' x 15' plots. The unreplicated on-farm lentil seeding rate trial was planted on October 13, 2023 at the Martens farm in 29.5' x 300' strips (approximately 0.20 acres per plot). Seeding rate treatments and lentil variety remained constant, but a small grain nurse crop was used in both sites to encourage weed suppression. The research farm used 'New Jenna' spring oats, and the Martens farm used their own oat variety, which has shown some winter survival capacity.
Data Collection: On April 28, 2023, stand count data were collected from the research station trial, and post-harvest data (grain yield, lentil biomass, weed biomass) were collected after harvest on July 11, 2023. Total stand count refers to plants observed in two 1/4m x 1m quadrats. Disease and lodging were not present at meaningful levels. Heavy weed pressure in the Martens farm plots resulted in spotty stands and extremely challenging harvest, so yields were not measured.
On October 25, 2023 and April 16, 2024, vigor and 50cm x 50 cm quadrat stand count data were collected. One quadrat was placed per plot, and a stake was placed at the lower left corner of each quadrat to ensure consistent placement in fall and spring. On July 12, 2024, quadrat harvest was carried out with minimal shattering and pod loss. Two quadrats of 1/2 meter area were harvested from each plot, and material was sorted into weed, lentil, and oat components. Lentil and oat samples were dried in a low-heat oven and threshed.
Stand counts were taken on Martens Farm lentil strips on November 7, 2023 and April 26, 2024. Three sampling sites were established for each plot, and one 50 cm x 50 cm quadrat stand count was taken from each site. Weed pressure was moderate to low, and combine harvest was carried out by Peter Martens on July 8, 2024 with a HoneyBee AirFlex SDX belt header.
Data Analysis: Year 1 results were analyzed using a one-way ANOVA model to determine significant effect of treatments. Year 2 data were analyzed using mixed model ANOVA to account for replicate effects. Due to heavy deer browsing and inconsistent stand establishment in Year 1, a two-year analysis was not performed.
Winter Pea Variety Trial
Experimental Design: A winter pea variety trial was planted at the Homer C. Thompson Vegetable Research Farm (Freeville, NY) and at Peter and Hanna Martens Farm (Penn Yann, NY). The trial was planted on September 30, 2022 at the research station and on October 6, 2022 at the farm. Nine pea varieties were included in the trial (Table 1), planted in a mixture with triticale at a seeding rate of 175,000 seeds/acre for peas and 480,000 seeds per acre for triticale. At the research farm, we planted the experiment as a spatially balanced randomized complete block design with four replications. We planted a single replication for the on-farm trial trial. At the research station, plots were 4.5' x 15', and at the farm they were 29.5' x 320' (approximately 0.22 acres per plot).
In Year 2, the replicated winter pea variety trial was planted on September 28, 2023 at McGowan Farm, a Cornell University Campus Area Farm (Ithaca, NY) in 4.5' x 15' plots. The unreplicated on-farm variety trial was planted on October 13, 2023 at the Martens farm in 29.5' x 300' strips (approximately 0.20 acres per plot). Ten winter pea varieties were trialed in four replicates, comprising all nine varieties trialed in 2022-23, plus one new variety from ProGene (Table 1). At the research farm, pea plots were planted in biculture with 'Chief' triticale as in 2022-23, but on-farm plots were planted in biculture with the Martens' own oat variety, which has been selected for winter hardiness. Peter feels that the heading date for winter oat will align better with winter pea than triticale did, and oats offer food-grade market opportunities that triticale does not.
Table 1. Varieties included in winter pea variety trial
Species | Variety | Year 1 | Year 2 |
Winter Pea | Blaze | X | X |
Winter Pea | FP6101 | X | X |
Winter Pea | Goldenwood | X | X |
Winter Pea | Icicle | X | X |
Winter Pea | Keystone | X | X |
Winter Pea | KeystoneIcicle | X | X |
Winter Pea | KurtWood | X | X |
Winter Pea | Vail | X | X |
Winter Pea | Windham | X | X |
Winter Pea | Payback | X | |
Triticale | Chief | X | X |
Data Collection: On December 2, 2022, fall vigor was evaluated in the research station trial. Vigor was evaluated on a 1 to 9 scale, with 1 representing the smallest/least vigorous plants and 9 representing the largest/most vigorous plants. Spring vigor and stand counts were taken on April 28, 2023, and plant height was measured on June 22, 2023. Total stand count refers to plants observed in two 1/4m x 1m quadrats. Post-harvest data (stem count, grain yield, pea biomass, and weed biomass) were collected after harvest on July 18-19, 2023. On the Martens farm, plant height was measured on June 26, 2023, and grain yield and field-dry biomass was measured after harvest on July 14, 2023. Crude protein content of samples from both sites was analyzed at Dairy One laboratory in Ithaca, NY in October 2023.
On October 25, 2023 and April 16, 2024, vigor and stand count data were collected. Stand counts were taking with 50cm x 50 cm quadrats, and mean stand count per plot was calculated. Stakes were placed at the lower left corner of each quadrat to ensure consistent quadrat placement in fall and spring. Plant growth was aggressive, and both lodging and disease were substantial. Plant heights, disease severity, and lodging (as percent of plot standing) were measured on June 26, 2024. Plots accumulated biomass great enough so as to make quadrat harvest impractical, so a plot harvester was used to harvest pea and triticale grain on July 9, 2024. Biomass from each plot was gathered and weighed, but neither botanical separation nor stem counting were feasible. Pea and triticale grain was separated using a thresher and hand screens.
On the Martens Farm, stand counts were taken on Martens Farm lentil strips on November 7, 2023 and April 26, 2024. Three sampling sites were established for each plot, and one 50 cm x 50 cm quadrat stand count was taken from each site. Plant heights and lodging were measured on July 1, 2024, and combine harvest was carried out by Peter Martens on July 8, 2024 with a HoneyBee AirFlex SDX belt header. Any lodged peas were picked up without issue. Crude protein content of samples from both sites was analyzed at Dairy One laboratory in Ithaca, NY in August 2024.
Data Analysis: Year 1 results were analyzed using a one-way ANOVA model to determine significant effect of variety on recorded traits. Deer browsing was evident in the research station trial, so grain yield and biomass were analyzed both per-stem and in aggregate to account for variable stands. Square root transformation was used for grain yield, pea biomass, and weed biomass for improved adherence to assumptions of normal distribution and equal variance of residuals in ANOVA. Year 2 data were analyzed using mixed model ANOVA to account for visually observable replicate effects, and response variable transformation was not necessary.
For combined Year 1-2 data, mixed model ANOVA was used, with both Entry and Year as fixed effects. Because yield was measured on quadrat and full-plot scales in Years 1 and 2, respectively, grain and biomass yield were standardized as proportion of same-year mean yield. This allowed comparison between years, in context of each year's unique conditions.
Winter Lentil Seeding Rate Trial
Year 1
In the first year, the on-farm lentil trial was challenged by poor winter survival as well as annual weed competition, issues that also arose in a neighboring production winter lentil field. On-farm lentil plots were harvested with great effort, but weights were not recorded due to stand inconsistency and weed binding in harvest equipment. The first-year research station lentil seeding rate trial was also heavily infested with chickweed after planting, compromising results by affecting population establishment.
No significant difference in stand count, grain yield, lentil biomass, or weed biomass was detected in the research station trial (Table 2), likely due to extensive weed pressure.
Table 2. Results of one-way analysis of variance by seeding rate in Year 1 trial of 'Morton' winter lentil sown at five seeding rates. NS indicates no significant difference among treatments.
Trait | Df | Sum Sq | Mean Sq | F value | Pr(>F) | Significance |
Total Stand Count | 4 | 362.5 | 90.6 | 0.54 | 0.71 | NS |
Grain Yield | 4 | 4678.0 | 1169.4 | 0.47 | 0.76 | NS |
Lentil Biomass | 4 | 11536.0 | 2884.1 | 0.22 | 0.92 | NS |
Weed Biomass | 4 | 2644.7 | 661.2 | 0.80 | 0.55 | NS |
Trait means in the research trial varied numerically among seeding rate treatments but without explicable trend (Table 3). For example, stand count and lentil biomass were numerically (though not significantly) higher using the lowest seeding rate of 25 lbs/ac, while a much higher seeding rate of 47.5 lbs/ac showed much lower stand count and lentil biomass. It seems that weed pressure overwhelmed the effect of seeding rate treatments, so our approach for 2023-24 focuses on mitigating weed pressure through use of biculture with oat.
Table 3. Trait means by seeding rate in Year 1 trial of 'Morton' winter lentil sown at five seeding rates.
Winter Lentil Trait Means 2022-23
As a result of collaboration surrounding this project, Martens and researchers decided to use an oat nurse crop (target 60 lbs/ac) interplanted with lentil in 2023-24, in an effort to suppress weeds and aid winter survival by increasing surface residue. Nurse crops have been used successfully by researchers for improving weed suppression and winter survival in hairy vetch, and we hypothesize that this technique holds promise for winter lentil as well. Though not a formal research question of the proposed work, experimentation with a cereal nurse crop for winter lentil is a potentially valuable learning outcome in the case of this novel winter legume crop for our region. If successful, this technique will facilitate better trial data and improved commercial production in future seasons.
Year 2
Winter lentil plots sown in biculture with winter oats established well in both research station and on-farm settings. Importantly, significant differences were observed in spring stand (Table 4), with mean stand count increasing directly with seeding rate (Table 5). Stand count was not significantly different among the lower three seeding rates (25, 32.5, and 40 lbs/ac) or top two seeding rates (47.5 and 55 lbs/ac), but the lowest three seeding rates were significantly different in stand count from the highest 55 lbs/ac seeding rate.
However, these differences in lentil plant density among seeding rate treatments did not result in significant differences in weed biomass, lentil yield, or oat yield. The similarity of weed biomass and oat yield across seeding rate treatments reinforces the notion that a similar growing environment was present across plots, such that seeding rate treatments could have resulted in different lentil yield. While differences in lentil yield across treatments did not meet the threshold of statistical significance, some trends are evident. Lentil grain yield was very similar – between 75 and 81 g-- among the four higher seeding rate treatments (32, 40, 47.5, and 55 lbs/ac), while yield for the 25 lb/ac seeding rate was numerically lower by about one-third.
Table 4. Results of one-way analysis of variance by seeding rate in Year 2 trial of 'Morton' winter lentil sown at five seeding rates. The *** symbol indicates significance at p<0.001, and NS indicates no significant difference among treatments.
Treatment | Sum Sq | Mean Sq | NumDF | DenDF | F value | Pr(>F) | Significance |
Spring Stand | 5017.3 | 1254.3 | 4 | 12 | 12.783 | 2.76E-04 | *** |
Weed Biomass (g) | 129.76 | 32.439 | 4 | 12 | 0.6194 | 0.6572 | NS |
Lentil Yield (g) | 2401.3 | 600.33 | 4 | 12 | 0.9378 | 0.4749 | NS |
Oat Yield (g) | 4667.8 | 1166.9 | 4 | 15 | 0.3186 | 0.8611 | NS |
Table 5. Trait means by seeding rate in Year 2 trial of 'Morton' winter lentil sown at five seeding rates.
Winter Lentil Trait Means 2023-24
On-farm lentil trials cannot be statistically analyzed, but with the exception of the 47.5 lb/ac seeding rate plot, stand counts increased with seeding rate (Table 6). However, stand counts were lower in the on-farm than research setting for each given seeding rate, and notably, stand count was quite similar for the on-farm 40 lb/ac and 55 lb/ac plots. Lentil yields largely followed the trend in seeding rates; the highest and lowest lentil yield (208 lbs and 119 lbs) resulted from the highest and lowest seeding rate, respectively. The 32.5 lb/ac and 40 lb/ac seeding rates yielded progressively more than the lowest seeding rate; the only seeding rate not showing a commensurate increase in lentil yield was the 47.5 lbs/ac seeding rate, likely due to its poorer stand establishment.
Table 6: Trait values by lentil seeding rate in on-farm trial, sorted by grain yield.
Winter Lentil On-Farm Trial Trait Means 2023-24
Winter Pea Variety Trial
Year 1
While some deer browsing was apparent in the research station winter pea variety trial in Year 1 , significant differences were found among varieties for all traits except weed biomass (Table 7). For fall vigor, grain yield, pea biomass, and protein, statistical analysis served to identify one or two lower-performing varieties (e.g. Windham for fall vigor, grain yield, and pea biomass and FP6101 for grain yield, pea biomass, and protein) but did not show significant distinction among the top-ranking 7 or 8 varieties. For spring vigor, one variety (KeystoneIcicle) emerged as significantly more vigorous than several others: FP6101, Icicle, Vail, and Windham.
Table 7. Year 1 results of one-way analysis of variance by winter pea variety.
Trait | Df | Sum Sq | Mean Sq | F value | Pr(>F) | Significance |
Stand Count Total | 8 | 244.00 | 30.50 | 8.40 | 1.15E-05 | *** |
Fall Vigor | 8 | 88.22 | 11.03 | 4.80 | 9.40E-04 | *** |
Spring Vigor 2 | 8 | 131.56 | 16.44 | 9.25 | 4.83E-06 | *** |
Avg Plant Height | 8 | 10286.20 | 1285.78 | 16.58 | 1.41E-08 | *** |
Stem Count | 8 | 689.22 | 86.15 | 3.45 | 7.28E-03 | ** |
Grain Yield (Square Root) | 8 | 101.18 | 12.65 | 5.29 | 4.75E-04 | *** |
Grain Yield Per Stem | 8 | 48.56 | 6.07 | 2.31 | 4.94E-02 | * |
Pea Biomass (Square Root) | 8 | 61.29 | 7.66 | 4.91 | 1.12E-03 | ** |
Pea Biomass Per Stem | 8 | 61.31 | 7.66 | 4.92 | 1.10E-03 | ** |
Weed Biomass (Square Root) | 8 | 4.62 | 0.58 | 1.42 | 2.35E-01 | NS |
Percent Crude Protein | 8 | 66.09 | 8.26 | 3.68 | 5.03E-03 | ** |
***, **, and * indicate one-way fixed effect ANOVA tests significant at p<0.001, p < 0.01, and p < 0.05, respectively. NS indicates no significant difference among varieties. Significance for grain yield, pea biomass, and weed biomass calculated using square root transformed data. Stand count data not shown due to deer browsing.
A means table sorted by grain yield shows that varieties sorted into three general groups (Table 8). A group comprising Blaze, Vail, and Goldenwood shows numerically higher yield and protein content from shorter, more heavily tillered plants. A second group -- KurtWood, KeystoneIcicle, and Keystone showed moderately high yield from taller, less tillered plants with numerically lower protein content. Finally, a third group composed of Icicle, FP6101, and Windham showed lower yield and biomass with varied plant stature.
Table 8. Trait means by winter pea variety in Year 1 research station trial, sorted by grain yield.
Winter Pea Trait Means 2022-23
On-farm variety trial plots established well and reflected trends observed in the research station trial (Table 9). As in the replicated trial, Blaze, Goldenwood, and Vail showed the highest grain yield, and Goldenwood yielded less biomass than Blaze or Vail. Similarly, both replicated and on-farm trials showed Keystone and Kurtwood to be intermediate for yield but strong for biomass production. Finally, both trials revealed Icicle and FP6101 as poorer-yielding varieties.
Table 9: Trait values by winter pea variety in Year 1 on-farm trial, sorted by grain yield.
On-Farm Winter Pea Variety Trial Trait Values 2022-23
Trait correlations from the research station trial suggest trends in the way pea plant architecture and vigor associate with yield traits (Figure 1). Spring vigor shows a modest but significant correlation with both grain yield and pea biomass (r=0.36, p < 0.05 for both traits), but fall vigor is not significantly correlated with either yield trait. This illustrates a known tradeoff between fall vigor and biomass in cold climates. A high, very significant correlation (r=0.87, p < 0.001) between grain yield and biomass suggests that both traits may be selected for concurrently and that similar varieties could suit both grain and forage / cover crop applications.
Our results show high, very significant correlations between stem count and two yield variables: grain yield and pea biomass (r=0.74 and 0.64, p<0.001, respectively). This indicates, unsurprisingly, that varieties with more stems are more productive for both grain and biomass. While plant height is significantly and inversely correlated with stem count (r=-.40, p<0.05), plant height itself is not significantly correlated with grain yield or pea biomass. Thus, stem count – regardless of plant height – is the trait most strongly associated with both grain and biomass yield. However, plant height does show a significant inverse correlation with protein content (r=-0.46, p<0.01), suggesting that short-stature pea varieties may offer higher protein content than longer-vining varieties.
Figure 1: Trait correlations from Year 1 winter pea variety trial.
Winter Pea Variety Trial Trait Correlations 2022-23
This winter pea variety trial was designed to compare multiple grain pea varieties against Keystone, which is the variety most commonly used by grain pea growers in the Northeast. We are interested and gratified that several varieties -- most notably shorter varieties Blaze, Vail, and Goldenwood -- showed numerically higher performance than Keystone for both grain yield and biomass. Finally, grain peas are generally bred for monoculture production, but our trial uses biculture with a small grain, creating an environment of resource competition. We note that varieties with abundant tillers performed well in this environment, and we are curious whether these results will be reflected in the trial's second year.
Year 2
The 2023-24 replicated winter pea variety trial showed significant differences among varieties for all traits except spring stand, total biomass, and triticale yield (Table 10). The consistency in pea plant population, whole plot biomass, and triticale yield shows that strong and consistent pea-triticale biculture stands were established, providing a reasonably uniform trial environment. While significant differences in fall vigor were evident (Table 11), relative vigor among varieties had changed by spring. By spring, two vining, normal-leaf varieties -- FP6101 and Icicle -- showed significantly more vigor than Blaze, Goldenwood, and Windham, three compact, semileafless varieties.
Table 10. Year 2 results of mixed model analysis of variance by winter pea variety.
Trait | Sum Sq | Mean Sq | NumDF | DenDF | F value | Pr(>F) | Significance |
Fall Vigor | 149.6 | 16.622 | 9 | 27 | 12.75 | 1.27E-07 | *** |
Spring Vigor | 86.225 | 9.5806 | 9 | 30 | 5.3473 | 2.24E-04 | *** |
Spring Stand | 83 | 9.2222 | 9 | 30 | 1.581 | 0.1661 | NS |
Mean Plant Height | 26896 | 2988.4 | 9 | 27 | 45.463 | 5.25E-14 | *** |
Disease Severity | 66 | 7.3333 | 9 | 27 | 4.4796 | 1.14E-03 | ** |
Percent Standing | 39963 | 4440.3 | 9 | 27 | 68.605 | 2.89E-16 | *** |
Total Dry Biomass | 3.5521 | 0.39468 | 9 | 25.218 | 1.6582 | 0.1523 | NS |
Grain Pea Yield | 2510616 | 278957 | 9 | 25.076 | 3.9043 | 3.31E-03 | ** |
Triticale Yield | 1793739 | 199304 | 9 | 24.113 | 1.256 | 0.3095 | NS |
Percent Crude Protein | 58.554 | 6.506 | 9 | 25.122 | 9.7938 | 2.91E-06 | *** |
***, **, and * indicate mixed model ANOVA tests significant at p<0.001, p < 0.01, and p < 0.05, respectively. |
Differences in plant habit and leaf type were again reflected in plant height measurements, in which FP6101, Icicle, and KeystoneIcicle -- a mixture of normal-leaf, vining Icicle and compact, semileafless Keystone -- were all significantly taller than the other (all semileafless) varieties. Conditions were moisture-rich, due to the soil's high water-holding capacity, partial shade from a neighboring woods, and abundant precipitation. These conditions promoted disease -- particularly fusarium root rot -- and prolific plant growth, such that substantial lodging occurred. Significant differences in lodging exactly followed significant differences in plant height, and disease severity was significantly higher in Keystone and Vail (two semileafless types) than vining varieties FP6101 and Icicle. It seems that in these wet, disease-prone conditions, normal-leaf, indeterminate varieties were able to generate new tissue to replace diseased tissue, while determinate semileafless varieties tended to succumb more easily to disease.
KeystoneIcicle, the mixed-determinacy variety, showed significantly higher yield than four semileafless cultivars and one-third more than the next-highest-yielding variety, Icicle. It's possible that while determinate Keystone struggled with disease when planted individually, it benefitted from the protection of vining Icicle when planted in mixture. Finally, significant differences in percent crude protein were identified, with FP6101, Vail, and Windham showing significantly higher protein content than Kurtwood and Payback.
Table 11: Trait means by winter pea variety in Year 2 research station trial, sorted by grain yield.
Winter Pea Variety Trial Trait Means 2023-24
Trait correlations offer clues as to the interaction of plant habit and disease in the Year 2 replicated winter pea trial. Disease severity was positively correlated with standability and negatively correlated with spring vigor, both of which characterize determinate, semileafless varieties. Disease severity also shows significant negative correlation with total biomass and pea grain yield, suggesting that disease differentially impacted semileafless varieties and decreased their yield. Spring vigor -- which was significantly higher for vining varieties -- is significantly correlated with both total biomass and pe yield. Thus, the replicated trial's wet environment seemed to favor indeterminate varieties while constraining the growth potential of determinate varieties.
Figure 2: Trait correlations from Year 2 winter pea variety trial.
Winter Grain Pea Trial Trait Correlations 2023-24
The Year 2 on-farm unreplicated trial did not experience the excessively wet conditions that the replicated trial did, resulting in less disease pressure, less lodging, and earlier grain maturity. Blaze, a compact semileafless variety, was the top yielding variety for the second year running, and Vail was in the top 3 varieties both years (Table 12). The only vining variety in the on-farm trial -- Icicle, which yielded second-best in the replicated trial -- ranked last for yield on-farm. Kurtwood and Keystone showed intermediate yields on-farm in both years.
Table 12: Trait values by winter pea variety in Year 2 on-farm trial, sorted by grain yield.
Winter Pea On-Farm Trial Trait Means 2023-24
Two-year variety trial analysis
Combined two-year analysis of key traits shows both entry and entry x year interaction for all traits analyzed: standardized grain pea yield, standardized total plot biomass, and percent crude protein (Table 13).
Table 13. Years 1-2 results of mixed model analysis of variance by winter pea variety.
Sum Sq | Mean Sq | NumDF | DenDF | F value | Pr(>F) | Significance | ||
Standardized Grain Pea Yield | Entry | 3.5192 | 0.4399 | 8 | 46.069 | 3.0108 | 0.008377 | ** |
Year | 0.0296 | 0.02962 | 1 | 5.913 | 0.2027 | 0.6685876 | ||
Entry x Year | 6.0832 | 0.7604 | 8 | 46.069 | 5.2044 | 0.0001165 | *** | |
Standardized Total Biomass | Entry | 1.61643 | 0.20205 | 8 | 46.404 | 2.348 | 0.0328695 | * |
Year | 0.00004 | 0.00004 | 1 | 6.202 | 0.0004 | 0.9843322 | ||
Entry x Year | 2.92837 | 0.36605 | 8 | 46.404 | 4.2537 | 0.0006873 | *** | |
Percent Crude Protein | Entry | 60.128 | 7.516 | 8 | 46.352 | 5.1076 | 0.0001369 | *** |
Year | 42.274 | 42.274 | 1 | 6.097 | 28.7278 | 0.0016426 | ** | |
Entry x Year | 51.091 | 6.386 | 8 | 46.352 | 4.34 | 0.0005828 | *** | |
***, **, and * indicate mixed model ANOVA tests significant at p<0.001, p < 0.01, and p < 0.05, respectively. |
An interaction plots shows substantial crossover interaction for standardized grain yield (Figure 3). Blaze and Vail yielded considerably worse than average in 2024 than 2023, while Windham, FP6101, Icicle, and KeystoneIcicle yielded much better than average in 2024. Interestingly, three varieties showed consistent performance (relative to same-year average yield) between years: KurtWood and Goldenwood both showed an average of 117% same-year yield in both years, while Keystone showed an average of 84% same-year mean yield in both years.
Figure 3: Year 1-2 interactions for grain pea yield
Winter Grain Pea Standardized Yield Interactions 2023-24
Standardized biomass showed much more variance in 2023 than 2024 (Figure 4). FP6101, Windham, and Keystone produced much less biomass than average in 2023 but converged toward average biomass in 2024. Blaze, Vail , and Goldenwood yielded more biomass than average in 2023 but converged toward average biomass in 2024. Kurtwood, Icicle, Keystone, and the KeystoneIcicle mixture showed little change in relative biomass year to year.
Figure 4: Year 1-2 interactions for total biomass
Winter Grain Pea Standardized Biomass Interactions 2023-24
Finally, interactions for percent crude protein showed much less crossover than those for grain yield and biomass (Figure 5). Blaze decreased in percent crude protein slightly, but all other varieties had higher protein content in 2024 than 2023. The degree of variation between years varied dramatically by variety; for instance, FP6101 had much higher protein in 2024, while Goldenwood increased only slightly year-to-year. No significant correlations with percent crude protein are present in Year 2 (Figure 2), so while increased moisture seems to be associated with higher protein content, we cannot hypothesize disease or plant stature as a mechanism of increased protein accumulation in Year 2.
This project sought to optimize production systems for winter pea and lentil production systems in the Northeast, evaluate suitability of currently available germplasm, and assess profitability of winter pulses as a farm enterprise.
Objective 1: Compare performance of available winter pea and winter lentil cultivars and/or breeding lines.
We successfully trialed commercially available winter grain pea varieties, sourced from ProGene, over two years in both replicated research plots and unreplicated on-farm strips. We identified two varieties -- Kurtwood and Goldenwood -- that provided above-average yield in two very different growing seasons at both research and on-farm plots. We identified Blaze and Vail as varieties that performed well in drier conditions and KeystoneIcicle as a variety that excelled in a wet, disease-prone field.
In addition to identifying specific varieties with superior performance, we gained a better understanding of trait tradeoffs and the way microclimate, disease pressure, and plant habit can interact to influence yield and harvestability. While KeystoneIcicle, a mix of determinate and indeterminate varieties, yielded quite highly in Year 2's wet environment, the biomass was so great as to be unwieldy. For farmers with equipment capable of picking up lodged and viney plants, this growth habit might not be problematic. But for those using older combines or those not suited for high-biomass crops, harvest of indeterminate winter pea varieties could be too labor-intensive to be feasible.
Cooperating farmer Peter Martens came into this project wondering whether we could identify a winter grain pea variety that performed better than Keystone, the regional standby for winter grain production. Our results confirmed that Keystone did indeed show relatively stable yields across seasons, but its yield was below average for the set we trialed. Peter is considering Blaze -- the top performer on his farm in both years -- as well as Kurtwood and Goldenwood -- for adoption as his main crop grain pea. Two-year variety trial results will be disseminated to farmers and agronomists at winter 2024-25 meetings and conferences.
Objective 2: Test seeding rates of winter lentil in monoculture.
In Year 1, we found growing winter lentil in monoculture in Western New York State to be quite difficult. Weed pressure at both research and on-farm plots was intense, and lentil stands were outcompeted to the degree that no meaningful differences in stand count or yield could be discerned in the replicated trial. However, this experience proved useful in that it induced investigation of planting winter lentils with a winter oat nurse crop. We tried this in Year 2 on both replicated and on-farm plots, and the addition of oats controlled weeds enough to make lentil production viable in both places. We were able to establish plots with different lentil densities and assess the associated difference in yield. In addition, winter oats provided a supplementary cash crop to the main winter lentil crop.
While this experiment did not yield a definitive answer regarding the ideal seeding rate for winter lentils, our on-farm and replicated results suggest that modest-to-no yield is gained from plant populations greater than 30 plants per quarter-meter-squared, or approximately 486,000 plants per acre. This approximate stand count was achieved at the 40 lbs/ac rate in both replicated and unreplicated trials, and additional plant density in the replicated trials did not produce substantially greater yield. In the on-farm trials, yield increased noticeably at the 55 lbs/ac seeding rate, but not necessarily from a substantial increase in plant population. Further research could target the relationship between seeding rate and plant population to more closely determine an optimal seeding rate for winter lentil in the Northeast.
Objective 3: Compare yields of Northeast-grown winter lentil and pea to Western production.
With two years of winter grain pea yield data now analyzed, we will extrapolate per-acre yields and compare with Western production. This information will help to contextualize project results presented at winter 2024 meetings. However, the knowledge gained through our winter grain pea variety trials and winter lentil seeding rate trials will help to select varieties and agronomic practices to optimize Northeast winter pulse production.
Education & Outreach Activities and Participation Summary
Participation Summary:
2022 Education & Outreach Activities
In addition to communication with Collaborator Martens, Collaborator Loria discussed plans for the trial with one farmer in Maryland (Purple Mountain Grown Organics) who is also experimenting with lentils.
2023 Education & Outreach Activities
Winter Farmer Meetings:
- Presentation at the NYCO (New York Certified Organic) winter farmer meeting in Geneva on April 14th by farmer collaborator Peter Martens (30 attendees)
Field Days:
- Winter pea on-station research plots were part of two research farm field walks on April 25th and May 2nd, 2023 (15 and 6 attendees, respectively)
- Preliminary research results were shared via a research report handout presented at a summer field day at the Martens farm on August 23rd (160 attendees)
Martens Field Day Handout: 2023_08_24_Martens_Field_Day_Flyer
2024 Education & Outreach Activities
Winter Farmer Meetings:
- Solveig Hanson presented Year 1 results at the winter farmer meeting NYCO on February 13th, 2024, a farmer-led group of organic field crop farmers in NY that meets annually in Geneva, NY (60 attendees).
Field Days:
- Winter pea plots were discussed at two research farm field walks on April 22nd and May 1st, 2024 (21 attendees).
Trial reports:
- A preliminary trial report was shared via the 2024 NYCO meeting and a summer on-farm field day (100 additional individuals reached).
Year 1 Results Handout: 2024_02_13_NYCO_Flyer
- With the final trial analysis for 2023-2024 recently completed, we will write and publish a final research report to be shared widely with partners such as Cornell Cooperative Extension, the NYCO and OGRAIN farmer listservs as well as on our websites, and published on the Cornell Field Crops "Whats Cropping Up" blog.
Learning Outcomes
- Knowledge of appropriate intercrop species for lentil and winter pea grown in the Northeastern US.
- Knowledge of effect of seeding rate on weed biomass in winter lentil.
- Variety suitability in winter pea for production in the Northeastern US.
Project Outcomes
As relatively novel crops in the Northeast, the project aimed to explore potential for production of winter pea and lentil in the region, providing a foundation of knowledge for both researchers and farmers to base further experimentation and market exploration. By testing winter pea varieties in both research and on-farm environments, we have made substantial progress in understanding what traits make winter pea varieties successful, and what tradeoffs may be present in selecting a variety for grain production in our region. As the first winter lentil seeding rate trial in the region, we also were able to provide farmers with increased guidance on best practices, both for our collaborating farmer and others who adopt these crops in the future.
An initially unforeseen but extremely valuable component of the project has been to explore intercropping species options for winter pea and lentil, which is a key component to improving winter survival, weed suppression and harvestability in these legume crops. While more investigation is needed, the collaboration resulted in an initial testing of winter-hardy oats as an alternate companion crop for both winter lentil and winter pea, and stoked future research with new collaborators on winter oat breeding for the Northeast, as well as supporting an on-going on-farm breeding effort to this end. As a result of this work, our collaborator had the most successful winter pea and lentil harvests to date, supporting the viability of these crops despite past difficult production years. The project has additionally provided invaluable data and new farmer-researcher connections to inform winter pea breeding work ongoing by the Moore lab, and facilitated a new collaboration with a private breeding program.
Finally, the data and reports produced by this effort will serve as a repository of knowledge for new farmers interested in testing these crops on their farms in the Northeast. As pulse markets continue to grow, this research will be valuable in facilitating farmers meeting those market opportunities successfully.
While no new grants have been applied for to expand winter pea or winter lentil production or breeding, the knowledge gained through this project has informed a funded USDA-NIFA-SASCAP project into winter pea seed production. In addition, interest in alternative pulse crop production and breeding remains, with both the Cornell University research team and collaborating farmer, and we continue to communicate about future project ideas.
A key unforeseen challenge in establishing the winter pea variety trial was in sourcing material to test. Ultimately, we were only able to identify a single breeding program to source material from. While this program provides much of the commercially available winter pea varieties, optimally more sources would have been utilized to better understand the breadth of material available. Similarly, the project had intended to include a trial of alternate varieties of winter lentil but were able to only source a single variety, "Morton", which is of the Turkish red market class. Hopefully continued breeding and variety release efforts can facilitate the entry of more varieties into the research and production arenas.
By providing regional data on winter grain pea variety performance and winter lentil seeding rate effects, this work provides tangible and durable information for farmers to consult. By providing yield data in particular, farmers can decide whether adding winter pea or winter lentil to their operation may be viable, based on markets that they have available to them. Particularly on-farm, the trial encompassed two dramatically different seasons that might provide different answers to the question of viability. This study informs us that winter pea and winter lentil success in the Northeast may be highly dependent on winter weather conditions, which can vary widely in recent years. This adds an additional element of risk that, while partially mitigated by variety selection or agronomic practice, is not entirely so. Outside the scope of this current study, but perhaps a fruitful question, would be to compare spring to winter production for farmers presented with a grain pea market opportunity, in terms of potential success as well as the stability of production given seasonal variability.
Overall, this project is informative to diversified field crop farmers in the Northeast, who may be considering the addition of a winter legume for myriad potential benefits, among them; market demand for pulse crops, feed for animals, or to increase crop rotation diversity. It is also informative to students and researchers interested in building upon this work and further exploring the potential of two exciting winter pulse crops for the Northeast region.