Genetic Analysis for Growth and Yield Traits of Different Genotypes of Pea (Pisum sativum L.) under Prayagraj agro-climatic Condition

Raj, Jai Vardhan; Prasad, V. M.; Bahadur, Vijay; Srivastava, Rajneesh; Singh, Devi

doi:10.20546/ijcmas.2020.903.094

Cited by 2 publications

(3 citation statements)

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“…Environmental conditions, such as moisture and temperature, also played a role in promoting vegetative growth. These findings are in line with previous studies conducted by [21][22][23][24][25], which have also highlighted the impact of environmental factors on pea plant development and the number of primary branches per plant.…”

Section: Number Of Primary Branches Per Plantsupporting

confidence: 92%

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Varietal Mean Performance of Garden Pea (Pisum sativum var. hortense L.) Under Subtropical Conditions of Punjab, India

Neupane,

Tripathi,

Swain

et al. 2023

IJECC

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This study on genetic variability and character association in fourteen genotypes of garden pea was conducted during the period spanning from 2022 to 2023. The research was carried out at the Agricultural Farm, School of Agriculture, Lovely Professional University, Phagwara (Punjab), India. The results obtained from this study revealed a significant variation in the mean performance among genotypes concerning various parameters, including days to 50% flowering, plant height, number of nodes per plant, number of primary branches per plant, node to 1st flower appears, node to 1st pod appears, internodal length, length of pod, number of seeds per pod, number of pods per plant, 100 seeds weight, number of seeds per 100g pods, number of pods per 100g, pod yield per plant and total soluble solids. Among these parameters, it was observed that the number of primary branches per plant was highest (4.60) in the Tako-11 genotype, followed by GS-10 (4.46) and Samag (4.46). In terms of plant height, BKS pea recorded the highest measurement (91.28 cm), closely followed by Peas A-1 (90.85 cm). The genotypes GS-10 and AP-3 demonstrated superior performance in terms of yield as 104.70 g and 102.97 g, respectively. Furthermore, the assessment of total soluble solids content revealed that genotypes like GS-10 with 19.82°B and Nirali with 18.81°B exhibited higher sweetness levels in their pods compared to the other genotypes. Results of analysis of variance in this study indicated a substantial variance across the traits considered under investigation. Furthermore, it revealed that there are ample opportunities exist for the selection of promising genotypes with favorable characteristics for further agricultural development and breeding programs. From the obtained results it can be concluded that a notable variation in various agronomic traits was observed and these findings would be helpful in providing valuable insights for future research and breeding efforts aimed at enhancing garden pea cultivation and productivity.

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Section: Number Of Primary Branches Per Plantsupporting

confidence: 92%

“…Additionally, genetic traits specific to each cultivar play a role in determining the number of seeds per pod. This variability in the number of seeds per pod is consistent with findings reported by Raj et al [24], [28,[34][35][36], underscoring the complex interplay of genetic and environmental factors in this trait.…”

Section: Number Of Seeds Per Podsupporting

confidence: 91%

Varietal Mean Performance of Garden Pea (Pisum sativum var. hortense L.) Under Subtropical Conditions of Punjab, India

Neupane,

Tripathi,

Swain

et al. 2023

IJECC

View full text Add to dashboard Cite

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“…Matromorphy is a novel technique that facilitates in obtaining instant homozygous lines from heterozygous base population. In order to formulate an optimal breeding program targeted at harnessing the natural variability of the original population, variability indices such as GCV and PCV, heritability (h 2 ) and genetic advance (GA) are crucial (Raj et al, 2020). The phenotypic variability varies with environmental factors, whereas genetic variability remains constant and advantageous in breeding programme for selection or hybridization.…”

Section: Introductionmentioning

confidence: 99%

Genetic Variability, Correlation and Path Coefficient Analysis in Advanced Matromorphic Generations of Garden Pea (Pisum sativum L.)

Sharma,

Bhushan,

Samnotra

et al. 2023

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Background: Garden pea is an important leguminous vegetable crop but the lack of high yielding and stable varieties is the major constraint. There is a need to explore genetic variability for the crop improvement programs. Considering this, the current investigation was aimed to study the genetic variability and relationship among the yield and its contributing traits in advanced matromorphic progenies for effective production. Methods: A two year experiment was carried out at SKUAST- Chatha, Jammu during the cropping season of 2020-21 and 2021-22 to find out the genetic variability parameters, path coefficient and correlation studies for thirteen yield contributing traits in twenty two garden pea genotypes (twelve advanced matromorphic progenies and ten parental lines). Result: The results revealed high variability among the tested genotypes. The values of phenotypic coefficient of variation (PCV) were greater as compared to the genotypic coefficient of variation (GCV) for all the traits. High heritability along with genetic advance ( greater than 20%) was observed for all the traits whereas pod length (PL) and shelling percentage (SP) were exceptions. Pod yield per plant ( PYPP) had positive genotypic and phenotypic correlation with node at which first flower appears (NFFA), plant height(PH), internodal distance (ID), no. of pods per node (NPPN), pod length (PL), no. of seeds per pod(NSPP), no. of pods per plant (NPP), days to first picking (DFF), average pod weight (APW) and shelling percentage (SP). Positive direct effect on pod yield per plant (PYPP) was exhibited by traits viz., days to 50 per cent flowering (DFPF), node at which first flower appears (NFFA), internodal distance (ID), no. of pods per node (NPPN), pod width (PW), no. of seeds per pod (NSPP), no. of pods per plant (NPPP), days to first picking (DFP) and average pod weight (APW) in path coefficient analysis.

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Genetic Analysis for Growth and Yield Traits of Different Genotypes of Pea (Pisum sativum L.) under Prayagraj agro-climatic Condition

Cited by 2 publications

References 1 publication

Varietal Mean Performance of Garden Pea (Pisum sativum var. hortense L.) Under Subtropical Conditions of Punjab, India

Varietal Mean Performance of Garden Pea (Pisum sativum var. hortense L.) Under Subtropical Conditions of Punjab, India

Genetic Variability, Correlation and Path Coefficient Analysis in Advanced Matromorphic Generations of Garden Pea (Pisum sativum L.)

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