ASSESSMENT OF THE GENETIC VARIABILITY FOR VARIOUS AGRONOMIC TRAITS OF PEA (Pisum sativum L.) GENOTYPES

Abstract

The present study was conducted to study genetic variability and association among agronomic characters of pea (Pisum sativum L.) genotypes. The field experiment was conducted using ten genotypes at College of Agricultural Sciences (CAS) of International University of Business Agriculture and Technology (IUBAT), Dhaka, Bangladesh during the Rabi season (November 2020 to March 2021). Treatments were using the randomized complete block design (RCBD) with three replications. Highly significant (p ≤ 0.01) differences among the tested genotypes were observed. The results obtained revealed that the mean squares of the genotypes (G6) were best for 50% flowering (50.38), days to maturity (122.08) and fresh pod shelling percentage (65.29%). Genotype (G2) had highest plant height (142.08 cm), pods plant-1(39.96) and seed yield plant-1 (52.04 gm). G9 had maximum 100-seed fresh (43.90 gm) and dry (21.29 gm) weight. Genotype (G5) had best primary branches plant-1 whereas G8 had maximum pod length (8.86 cm) and seeds pod-1 (6.26). The estimates of heritability and genetic advance were high for days to 50% flowering (0.99, 35.38%), plant height (0.95, 46.88%) and seed yield plant-1 (0.97, 62.47%). High heritability with moderate genetic advance were observed for days to maturity (0.97, 20.20%), pod length (0.95, 15.37%) fresh pod shelling percentage (0.82, 21.58%), 100-seed fresh (0.90, 29.52%) and dry weight (0.93, 22.68%). Significant and positive phenotypic coefficient of correlation was exhibited by seed yield plant-1 with plant height (rp = 0.64), days to 50% flowering (rp= 0.63), days to maturity (rp = 0.78), pods plant-1 (rp = 0.72), pod length (rp = 0.66), fresh pod shelling percentage (rp = 0.64), 100-seed fresh weight (rp = 0.65) and 100-seed dry weight (rp = 0.62). Significant and positive genotypic coefficient of correlation was exhibited by seed yield plant-1 with plant height (rg= 0.81), days to maturity (rg= 0.70) and pods plant-1 (rg= 0.84). Among tested genotypes G6, G2, G9 and G5 performed better, therefore could be used in future breeding programs. These traits best contributing to yield variation that emphasis by breeders for future yield improvement of the crop. It can be conclude that pea yield can be successfully improved by studying genetic variability and its agronomic characters.

Ovule Number and Flower Size in Pea (Pisum sativum L.): Variation, Heritability, and Correlation with Some Components of Productivity

“…Our observations indicate that maximum SN is equal to the ON and achievable only in a small fraction of pods (S/O = 1.00). Those authors who studied the impact of average (not maximum) SN on productivity found them correlating significantly [6,9].…”

“…Only relatively strong (r > 0.5) and statistically significant correlations are discussed below. The seed yield in pea (i.e., mass of seeds produced by a single plant or a plot) was found predictably correlated with primary components of productivity, such as number of seeds [5,9] and pods [4][5][6] per plant or, to a surprisingly lesser extent, number of seeds per pod [3,6,9,10]. Data on the impact of 1000 seed mass on a yield are contradictory.…”

“…That is why the correlation between and genetic control of different traits, especially agriculturally valuable ones, has been under thorough examination for decades. Even in several recent years, numerous works reported correlations between different morphological features and seed yield [2][3][4][5][6][7][8][9][10]. Only relatively strong (r > 0.5) and statistically significant correlations are discussed below.…”

“…Data on the impact of 1000 seed mass on a yield are contradictory. While Shurkhaeva et al [9] reported a negative correlation between seed yield and 1000 seed mass, some other authors [6,10] found these two traits to be positively correlated.…”

Exploring Genetic Variability Parameters for Yield and its Contributing Traits in Lentil (Lens culinaris L. Medik)

“…A valuable resource that contains a vast amount of genes that are desirable for crop improvement is the germplasm repository, however, this can only be used with an understanding of the extent of genetic diversity [14]. A wide range of methods involving the measurement and analysis of morphological characteristics have been employed to evaluate and categorize different genotypes across various crop species, including alfalfa, cowpea, lentil, soybean, mustard, peas, and mungbean [15][16][17][18][19][20]. The assessment of genetic diversity can be carried out by evaluating both qualitative and quantitative traits.…”