Pea Genotypes Research Articles

Nutritional Value Evaluation of New Pea Genotypes (Pisum sativum L.) Based on Their Chemical, Amino Acids and Dietary Fiber Composition.

This research concerned the assessment of the utility value of new pea breeding materials intended for registration in the European Union. The research material consisted of sixteen breeding lines and four reference pea varieties. The evaluation was carried out based on the chemical composition of seeds and its variability within the studied genotypes. The contents of protein, starch, lipids, ash and dietary fiber (DF) were determined. The nutritional value of the protein was assessed in vitro using the value of the limiting amino acid index chemical score (CS) and the integrated essential amino acid index (EAAI). The analyzed pea genotypes were characterized by significant diversity in terms of the content of the tested components. The obtained results combined with the PCA analysis were used to select pea genotypes of the highest quality, having the potential as a raw material for the production of food with health-promoting properties. The effect of the conducted research was the identification of three pea genotypes with the greatest potential in terms of protein content and dietary fiber complex.

Genotype × environment interaction and stability analysis of advanced field pea (Pisum sativum L.) genotypes in Southeastern Ethiopia

Field pea is a leguminous crops that have a significant economic contributions to sustainable Ethiopian agriculture. The experiment was conducted at four location in 2015/16 to 2016/17 main cropping seasons with the objectives of to determine the magnitude of genotype by environment interactions and its stability of thirteen field pea genotypes using randomized complete block design with four replications. The AMMI analysis revealed that significant (p<0.01) differences between genotypes, environments and genotype by environment interactions for grain yield. This indicates the genotypes responded differently across environments. The highest mean grain yield was recorded from genotype G12 which records (2992 kg ha−1) followed by genotype G4 2974 kg ha−1 across environments. The AMMI analysis showed that genotypes, environments and there interaction accounted about 72.9 %, 1.2 % and 5.7 % of the total sum of squares respectively. The GGE biplot first two principal components explained about 57.42 % of the total sum square of GEI. The GGE biplot revealed that G4 and G12 were the most stable and high yielding genotypes, while G10 and G9 were the lowest yielder and stable genotypes. The results indicated that genotypes responded differently to environmental conditions and the environments influenced genotype performances.

Genetic Studies on Yield and Its Components in Pigeonpea (Cajanus cajan L. Millsp.)

A field trial was carried out at the International Crop Research Institute for the Semi-Arid Tropics, Patancheru, Hyderabad during Kharif, 2023-24, with the aim of studying genetic parameters for yield and its components among pigeonpea genotypes which provides in developing an apt selection index to be included in the breeding programs. This research was conducted on 200 genotypes of Indian pigeon pea on seven traits. Data were analysed to calculate analysis of variance (ANOVA), phenotypic coefficient of variation (PCV), genetic coefficient of variation (GCV), broad sense heritability (h2bs) and estimated genetic progression as percentage mean using R software v 4.3.1. The results of the analysis of variance showed that there was a significant difference for days to 50% flowering, plant height (cm), hundred seed weight and seed yield per plant among the genotypes. The genotypic coefficient of variance was lower than the genotypic coefficient of variance for all the traits under selection. Higher extent of genotypic coefficient of variation is manifested by days to 50% flowering, plant height, seeds per pod, hundred seed weight and seed yield per plant. High heritability coupled with genetic advance as per cent mean was observed in seed yield per plant, number of days to 50% flowering and plant height. The results concluded that seed yield per plant, number of days to flowering up to 50%, and plant height are the traits that should be emphasized as selection indicator in Indian pigeon pea breeding programs.

Assessment of Phenotypic Stability and Adaptability of Elite Field Pea (Pisum sativum L) Genotypes in Arsi Zone, Ethiopia

Assessment of Phenotypic Stability and Adaptability of Elite Field Pea (Pisum sativum L) Genotypes in Arsi Zone, Ethiopia

Assessing Elemental Diversity in Edible-Podded Peas: A Comparative Study of Pisum sativum L. var. macrocarpon and var. saccharatum through Principal Component Analysis, Correlation, and Cluster Analysis

This study assessed eleven elements in 24 edible-podded peas, including sugar snap pea and snow pea genotypes aiming to identify promising parents for nutraceutical breeding. Elemental concentrations of pods (dry weight basis) were estimated through inductively coupled plasma-optical emission spectroscopy (ICP-OES). The ranges for these elements varied significantly, highlighting the diverse elemental profiles within the edible-podded pea genotypes. All the elements exhibited a high genotypic and phenotypic coefficient of variation along with considerable heritability and hereditary progress. Positive and significant correlations were recorded among all elements, suggesting the potential for simultaneous selection for these traits. Principal component analysis (PCA) revealed that the first two components accounted for 80.56% of the variation. Further, cluster analysis, based on Euclidean distance, grouped the 24 cultivars into two major clusters. Cluster I exhibited higher means for all estimated concentrations compared to Cluster II. Notably, Dwarf Grey Sugar and Arka Sampoorna from the snap pea group and PED-21-5 and Sugar Snappy from the sugar snap pea in Cluster II demonstrated superior elemental concentration in whole pods. The selected edible-podded pea genotypes serve as valuable genetic resources for new cultivar development, particularly in biofortification efforts targeting whole pod nutrient composition.

Phenotypic diversity in qualitative and quantitative traits for selection of high yield potential field pea genotypes

Field pea (Pisum sativum L.) needs improvement to increase productivity due to its high price and demand. However, the incidence of powdery mildew (PM) disease limits its production. This study aimed to analyze the diversity of qualitative and quantitative traits against powdery mildew resistance by utilizing cluster and principal component analysis to explore PM resistance high-yield potential field peas. Shannon–Weaver's diversity index (Hʹ) displayed high intra-genotype diversity for quantitative and qualitative aspects. Heterogeneity was identified for resistance against powdery mildew infections. Eighty-five genotypes were divided into five groups using Mohalanobis generalized distance (D2) statistics. The highest inter-cluster D2 value was observed between clusters 2 and 3 (11.89) while the lowest value was found between clusters 3 and 4 (2.06). Most of the genotypes had noticeable differences, so these could be employed in a crossing scheme. Twelve genotypes were extremely resistant, 29 genotypes were resistant, 25 genotypes were moderately resistant, 18 genotypes were fairly susceptible, and 1 genotype was susceptible to powdery mildew disease. Among 29 resistant genotypes, BFP77, BFP74, BFP63, BFP62, BFP43, and BFP80 were high yielders and, could be used directly and/or transferred through hybridization to high-yielding disease-susceptible genotypes. Among the 25 moderately resistant genotypes, BFP78, BFP45, BFP79, and BFP48 were found to be high yielders. In principal component analysis (PCA), the first four PCs with Eigen values > 1 accounted for 88.4% variability for quantitative traits. Clustering sorted genotypes into five groups, where groups 1 to 5 assembled 37, 28, 1, 8, and 11 genotypes, respectively. Genotypes of cluster 4 were identified as high yielders with its attributes. Pearson correlation significantly and positively correlated across all traits except for PM. This variation suggested that there is a mechanism to select promising genotypes for field pea breeding. Considering all features, BFP78, BFP77, BFP74, BFP63, BFP62, BFP45, BFP79, and BFP80 could be preferred as high yielders and PM resistance owing to longer pod lengths, seeds per pod and pods per plant.

Screening of Field Pea (Pisum sativum L.) Genotypes for their Susceptibility against Pod Borers

The present investigation on the varietal screening of 13 pea genotypes including a check was carried out at Agricultural Research Farm, RAK College of Agriculture, Sehore, M.P. during Rabi 2020-2021. The larval population of H. armigera was found to be minimum in Pant P 484 with 1.21 larvae/ plant, with a pod damage of 2.28%, and maximum in KPMR 942 with 2.01 larvae/ plant, with a pod damage of 12.82% which was found statistically at par with HFP 16-02 with 1.91 larvae/ plant (12.37% pod damage). The maximum population of L. boutiques was also recorded on KPMR 942 (2.22 larvae/ plant) with pod damage of 15.00% followed by HFP 16-02 (13.40%) while it was minimum in Pant P 484 (1.36 larvae/ plant) with 2.83% pod damage. The result on the yield was maximum in Pant P 484 with 2818 kg/ha and the minimum yield was recorded in KPMR 942 with 919 kg/ha during the crop period. Out of a total of 13 varieties tested for infestation by the pod borers, three varieties (Pant P 484, IPFD 20-03 and IPFD 12-02) were found to be highly resistant, two varieties (Pant P 480 and IPFD 11-05) were least susceptible, four varieties (Pant P 479, RNCP 14-13, IPFD 20-09 and IPFD 20-02) were considered to be moderately susceptible, and four varieties (KPMR 942, HFP 17-11, HFP 16-02 and IPFD 10-12) were reported to be highly susceptible. By identifying resistant genotypes, we can adopt more targeted and sustainable strategies to combat pod borers, reducing reliance on chemical pesticides and minimizing crop losses. These resistant genotypes could also serve as valuable genetic resources for future breeding programs aimed at developing improved cultivars with enhanced resistance and contribute to the broader field of integrated pest management in field pea cultivation.

Characterization of Starch Fraction From Wet Protein Isolation Process in Pea (Pisum sativum L.)

ABSTRACTThe protein isolation process produces a protein isolate and a starch byproduct. This research focuses on characterizing the composition, pasting properties, and gel firmness (FM) of starch fractions of five yellow pea genotypes grown in six environments in the state of Washington, USA. Protein isolation yielded 17% protein and 60% starch fractions. The starch fraction had a purity range of 66.0%–84.8%. Pea starch exhibited a strong gel‐forming property. The pasting temperatures (PTs) of the starch fractions from the five pea entries ranged between 73.2 °C and 77.1 °C. Viscosity measurements indicated significant seasonal variations. Specifically, the viscosity parameters for the starches from the 2020 to 2022 seasons were significantly higher than those from the 2021 season. Differences in weather conditions partly contributed to seasonal variations. The 2021 season experienced low rainfall, primarily in May and June, followed by high temperatures during late June and the first 3 weeks of July. The principal component analysis (PCA) of 344 viscosity measurements from the Rapid Visco Analyzer (RVA) test showed a clear separation of the 2021 samples from those of 2020 and 2022, emphasizing the impact of the differences in growing conditions.

Response of field pea (Pisum sativum L.) genotypes for grain yield in a multi-environment trial in Southeastern Ethiopia

Field pea (Pisum sativum L.) is a key cool-season food legume grown in Ethiopia, particularly in the Southeastern Arsi Zone. Although there is potential for field pea production in the area, adopting new and improved varieties is challenging because local farmers frequently prioritize cereal crops over field peas. To tackle this issue, a study was conducted to identify and promote high-yielding, improved field pea varieties suitable for the Southeastern farming community and similar agro-ecologies. The study focused on assessing the relationship between genotype and environment as well as the stability pattern of 14 advanced field pea genotypes. The genotypes were evaluated in eight environments in two consecutive cropping seasons (2014–2015) in southeast Ethiopia. The study utilized a randomized complete block design consisting of four replications. Various parametric stability analyses were used, including joint regression, additive main effect and multiplicative interaction (AMMI), and additive main effect and multiplicative interaction stability value (ASV). The grain yield was significantly influenced by genotype, location, and their interactions. The average grain yield ranged from 2809.5 kg ha−1 to 3509.1 kg ha−1. Eberhart's stability analysis identified stable genotypes: G3, G4, and G8, while G14 was unstable. According to additive main effect and multiplicative interaction stability value (ASV) and yield stability index (YSI), genotypes G12 and G13 had very low ASV values, whereas genotype G4 had very low ASV and YSI values. The AMMI and GGE biplot graphs showed that the principal component axes (PC1) and (PC2) accounted for 64.1 % and 61.36 % of the total variation, respectively. The results indicated that genotypes responded differently to environmental conditions and that the environment also influenced genotype performance. Genotypes G4 and G3 consistently performed well and exhibited remarkable stability, making them excellent cultivars for improving field pea productivity.

Biological nitrogen fixation in field pea and vetch: Contribution from above and belowground structures to the partial nitrogen balance

ContextIncluding winter legumes during fallow periods in crop rotations may add nitrogen (N) to the agroecosystem through biological N fixation (BNF). This gain will depend on management practices and whether the crop is planted for grain production or as a cover crop. Despite many studies quantified the partial N balance of different legume crops, very few considered the contribution of BNF from belowground structures, which is necessary for more accurate estimations. ObjectiveTo estimate biomass, N uptake, and BNF in field-grown field pea and vetch, and study the impact of including belowground structures in the partial N balance of both crops. MethodsA two-year field study evaluating two genotypes of field pea (semi-leafless and conventional-leaved) and vetch was performed under field conditions in the Pampean Region (Argentina). Above and belowground biomass (measured in field monoliths to 0.3 m depth), N uptake and 15N abundance were quantified for determining BNF, and the partial N balance. ResultsThe partial N balance of field pea as grain crop was negative in most cases (average −7 kg N ha−1), but, was positive when vetch was evaluated as cover crop (average 51 kg N ha−1). Including belowground components, BNF improved the partial N balance by 1 and 6 kg N ha−1 in field pea and vetch, respectively. In field pea, the proportion of N uptake derived from BNF (%Ndfa) averaged 43 %, and was not affected by genotype or year, whereas for vetch represented 40 and 18 % of total N uptake in 2018 and 2019, respectively. In field pea, belowground BNF averaged 1.2 kg N ha−1, and represented 0.9 % of the total N uptake at maturity. In vetch, belowground BNF averaged 6.3 kg N ha−1 and accounted for 3.8 % of total N uptake at full bloom. ConclusionsBiomass and the proportion of N derived from BNF were not affected by the different genotypes in field pea, while in vetch, the environmental conditions that increased %Ndfa were more important than those that affected biomass production for increasing the partial N balance. ImplicationsAlthough field pea as a grain crop did not provide a consistent N input to the agrosystem, it arises as a convenient crop in terms of N balance compared to other cash crops. Vetch stands as an attractive cover crop, contributing 46–57 kg N ha−1 and 6–9.5 Mg ha −1 of residues to the agrosystem.

Assessment of Genetic Variability, Correlation, and Path Coefficient for Yield and Its Contributing Traits in Pigeon Pea [Cajanus cajan (L.) Millspaugh

The experimental material consisted of 155 pigeon pea genotypes sown in a Randomized Block Design (RBD) with three replications during the Kharif, 2023-2024 crop season at the N. E. B. Crop Research Centre of G. B. Pant University of Agriculture and Technology, Pantnagar, Uttarakhand. The genetic variance components, correlation, and path coefficient for seed yield and its components were estimated using these 155 pigeon pea genotypes. The highest phenotypic coefficient of variation (PCV) values (&gt; 20%) were recorded for traits such as the number of pods per plant (26.45%), number of secondary branches per plant (22.72%), and seed yield per plant (20.27%). In contrast, the lowest PCV estimates (&lt; 10%) were found for days to maturity (7.39%) and days to 50% flowering (6.73%). High estimates of the genotypic coefficient of variation (GCV) (&gt; 20%) were recorded only for the number of pods per plant (23.6%). The lowest GCV estimates (&lt; 10%) were observed for hundred seed weight (9.63%), number of seeds per pod (9.55%), plant height (9.49%), pod length (7.18%), days to maturity (6.85%), and days to 50% flowering (6.5%). The hundred seed weight showed a high positive direct effect on seed yield per plant (Genotypic = 0.58, Phenotypic = 0.47) along with a positive and significant correlation (Genotypic correlation coefficient, (rg = 0.599); Phenotypic correlation coefficient, (rp = 0.485)). Based on this investigation, it is evident that exploring genetic variability, correlations, and path analyses provides a more effective approach for selecting superior cultivars for yield and related traits.

Genotype × Environment Interaction and Stability of Field Pea (Pisum sativum L.) Genotypes for Seed Yield in Northwestern Ethiopia

Genotype × Environment Interaction and Stability of Field Pea (Pisum sativum L.) Genotypes for Seed Yield in Northwestern Ethiopia

Germination Ability of Different Field Pea (Pisum sativum L.) Genotypes Under Salinity Stress

Germination Ability of Different Field Pea (Pisum sativum L.) Genotypes Under Salinity Stress

Deciphering genotype-by-environment interaction of grass pea genotypes under rain-fed conditions and emphasizing the role of monthly rainfall

Rainfed regions have inconsistent spatial and temporal rainfall. So, these regions could face water deficiency during critical stages of crop growth. In this regard, multi-environment trials could play a key role in introducing stable genotypes with good performance across several rainfed regions. Grass pea, as a potential forage crop, is a resilient plant that could grow in unsuitable circumstances. In this study, agro-morphological attributes of 16 grass pea genotypes were examined in four semi-warm rain-fed regions during the years 2018–2021. The MLM analysis of variance showed a significant genotype-by-environment interaction (GEI) for dry yield, seed yield, days to maturity, days to flowering, and plant height of grass pea. The PLS (partial least squares) regression revealed that rainfall in the grass pea establishment stage (October and November) is meaningful. For grass pea cultivation, monthly rainfall during plant growth is important, especially in May, with an aim for seed yield. Regarding dry yield, G5, G10, G11, G12, G13, and G15 were selected as good performers and stable genotypes using DY × WAASB biplots, while SY × WAASB biplot manifested G2, G3, G12, and G13 as superior genotypes with stable seed yield. Considering equal weights for yield as well as the WAASB stability index (50/50), G13 was selected as the best one. Among test environments, E2 and E11 played a prominent role in distinguishing the above genotypes from other ones. In this study, MTSI (multi-trait stability index) analysis was applied to select a stable genotype, considering all measured agro-morphological traits simultaneously. Henceforth, the G5 and G15 grass pea genotypes were discerningly chosen due to their commendable performance in the WAASBY plot. In this context, G13 did not emerge as the winner based on MTSI; however, it exhibited an MTSI value in close proximity to the outer boundary of the circle. Consequently, upon comprehensive consideration of all traits, it is deduced that G5, G13, and G15 can be appraised as promising superior genotypes with stability across diverse environmental conditions.

Studies on Estimates of Heritability and Genetic Advance for Certain Quantitative Traits in Fieldpea (Pisum sativum L. var. arvense)

Twenty two field pea genotypes were evaluated for estimation of variability, heritability and genetic advance. The Fieldpea genotypes were sown in, Randomized Block Design with three replications at the experimental farm of department of Genetics and Plant Breeding, Faculty of Agriculture, Kamla Nehru Institute of Physical and Social Sciences Sultanpur 228118 (U.P.) India, during Rabi, season 2022-2023. Phenotypic data were recorded for nine characters viz. days to 50% flowering, days to maturity, plant height, number of branches per plant, number of pods per plant, 100-grain weight, grain yield per plant and biological yield per plant. It was reported that in general the value of phenotypic coefficient of variance (PCV) is slightly higher than the value of genotypic coefficient of variance (GCV) indicating the importance of environment in the phenotypic performance of the genotypes studied. The maximum value of GCV was observed for plant height (31.94), grain yield per plant (20.02). High estimates of heritability in broad sense (h2b) were recorded for plant height (97.28), days to 50% flowering (83.96), 100-grain weight (78.48) and days to maturity (64.83). High estimates of genetic advance as percent of mean were recorded for plant height (64.89), 100-grain weight (25.28) and grain yield per plant (25.15). Thus, the characters (plant height, days to 50% flowering, 100-grain weight etc) having high value of GCV, heritability as well as genetic advance may be exploited in Fieldpea breeding program for further improvement in grain yield.

Agronomic fortification of zinc enhances the growth, yield and quality of different genotypes of Pigeon pea (Cajanus cajan L.) on swell-shrink soil

Agronomic fortification of zinc enhances the growth, yield and quality of different genotypes of Pigeon pea (Cajanus cajan L.) on swell-shrink soil

Physiological Characterization of Cold Tolerant and Susceptible Pigeon Pea [Cajanus cajan (L.) Millsp.] Genotypes

Background: The cold stress adversely affects the growth, survival and reproductive capacity of plants if the minimum temperature falls below 5°C. Information’s regarding cold stress and its impact on morphological characters, physio-biochemical constituents and yield attributes in cold tolerant and susceptible pigeon pea genotypes are very limited. Keeping the above facts in to consideration, the experiments were conducted. Methods: Field experiments were conducted during 2018-19 and 2019-20 with 34 genotypes of pigeon pea including checks (NDA-1, Bahar, IPA203, NDA-2, MAL-13, ICP2275, IPACT-2, MA-6, IPACT-3, IPACT-24, Rajendra Arhar, IPA15F, Dholi-D, JBT46/27, IPACT-6, IPACT-14, IPAD1-17, IPAC 68, IPACT 22, ICPL 7035 IPA19-101, IPA19-102, IPA19-103, IPA19-104, IPA19-105, IPA19-106, IPA19-107, IPA19-108, IPA19-109, IPA19-110, IPA19-111, IPA19-112, IPA19-113, IPA19-114) in RBD at ICAR-IIPR, Kanpur. Morphological and yield Characters including plant height, scoring of cold injury in exposed plants and Number of flower drop and pod set during the cold period in tagged plants were recorded. In biochemical/ crop efficiency parameters viz: Nitrogen balance index, chlorophyll, flavonols, anthocyanin’s and NDVI were measured. The photosynthetic rate, stomatal conductance, and transpiration rate were measured at the pod formation stage. Anti-oxidant enzymes activity was assayed as per standard methods. Meteorological observations during Cold stress were recorded. Result: Based on flower/pod drop and retention the genotypes like IPA 15F, Dholi dwarf, JBT46/27, IPACT-6, IPACT-14, IPAC-1-17, IPACT-68, IPACT-22, IPA 19-101, IPA 19-102, IPA 19-103, IPA 19-104, IPA 19-105, IPA 19-107, IPA 19-108, IPA 19-109, IPA 19-110, IPA 19-111 and IPA 19-113 were found susceptible to cold stress and retaining an average 51.67 % flowers/pods. Genotypes like NDA-2, MAL-13, ICP2275, IPACT-2, MA-6, IPACT-3, IPACT-24, Rajendra arhar, IPA19-106, IPA19-112 and IPA19-114 have retained more than an average of 67.48% flowers/pods are considered tolerant to cold stress. Amongst the tolerant group NDA-2, MAL-13, ICP2275, IPACT-2, IPA19-106, IPA19-112 retained the flower/pod more than the average of check genotypes (67.57%). Biochemical/plant efficiency parameters were superior in tolerant group over susceptible group.

Evaluation of variation in seedling root architectural traits and their potential association with nitrogen fixation and agronomic traits in field pea accessions

AbstractRoot system architecture (RSA) plays a central role in water and nutrient acquisition in plants. Plasticity and genetic variation in RSA can be used as an adaptive strategy to optimize plant performance under variable environments. We quantified phenotypic variation for seedling RSA among 44 diverse pea (Pisum sativum L.) genotypes, including breeding lines and germplasm accessions, grown under controlled conditions for 14 days using two‐dimensional hydroponic root imaging. Root image analysis revealed significant genotypic variability among the lines for all root traits, namely root length (RL), root diameter (RD), root volume, root surface area, number of tips, network width (NW), network depth (ND), and network convex area. Significant positive correlations were observed among the evaluated root traits, ranging from 0.5 to 0.9. Pea lines were ranked based on estimated means for root traits, with lines E20, F1, and F8 showing high rankings, while E4 and F5 received low rankings for most traits. To associate root traits with nitrogen (N) fixation and field agronomic performance, we performed redundancy analysis (RDA). The quantified root traits accounted for significant variation in the agronomic traits (R2 = ∼30%, p &lt; 0.001). RDA showed a positive association between lodging susceptibility and root system NW and between plant height and root system ND. RD was positively associated with grain yield and N fixation. N fixation was positively associated with the number of lateral roots. The findings of this study indicate that variation for seedling root traits in pea could aid selection for N fixation and other important agronomic traits.

Estimation of Correlation Coefficient Analysis for Yield and Component Traits in Field Pea (Pisum sativum L.)

The present investigation entitled “Estimation of Correlation Coefficient Analysis for Yield and Component Traits in field pea (Pisum sativum L.)” for 10 characters. The experiment comprising of 23 genotypes of pea were grown in a Randomized Block Design (RBD), with three replications at Research Farm, Department of Genetics &amp; Plant Breeding, Post Graduate College, Ghazipur, during rabi season of 2017-2018, plant to plant and row to row distance was kept 10 cm and 45 cm, respectively. The maximum positive and significant phenotypic correlation coefficient (0.834) was found between seed yield per plant, biological yield per plant. Positive and significant correlations were observed between seed yield per plant and number of pods per plant, plant height. Positive and significant correlations were also recorded between biological yield per plant and plant height, number of pods per plant. Similarly number of pods per plant had positive and significant correlation with plant height.

Penerapan Analisis Biomassa Shoot-Root Ratio dalam Memprediksi Hasil pada Genotipe Ercis

The economic and nutritional potential of peas makes them highly promising for development. Accurate yield predictions based on photosynthate allocation are essential for optimizing crop production. This study aimed to utilize shoot-root ratio biomass analysis to predict the yield of different pea genotypes. The research was conducted at the experimental field of the Faculty of Agriculture, University of Brawijaya, located in Jatimulyo, Malang, East Java. The study utilized three pea genotypes (TMG-8-2, BTG-1, and BW-44181-3-1) planted in individual rows. The analysis involved calculating the shoot-root ratio and using simple linear regression to predict the results. The findings indicated that the shoot-root ratio varied over time, with the BW-44181-3-1 genotype displaying the highest ratio and the TMG-8-2 genotype showing the lowest. The shoot-root ratio exhibited the highest increase during the generative phase, peaking during pod maturation. Regarding yield variables, the results of the simple linear regression analysis revealed that the shoot-root ratio significantly influenced the number of pods planted (R2 = 88%), the number of seeds planted (R2 = 78%), and the weight of seeds planted (R2 = 90%) at 70 days after planting (DAP). An increase in the shoot-root ratio served as an indicator of the quantity and weight of seeds planted, as well as the number of pods produced.