CORRELATION AND PATH COEFFICIENT ANALYSIS FOR YIELD AND COMPONENT TRAITS IN PEA (PISUM SATIVUM L.)

被引:0
|
作者
Sharma, Deepa [1 ]
Kumari, Manisha [1 ]
Sandeep, Sampathi [1 ]
Thakur, Nikhil [1 ]
机构
[1] Dr Yashwant Singh Parmar Univ Hort & Forestry, Coll Hort & Forestry, Dept Vegetable Sci, Hamirpur 177001, HP, India
来源
BANGLADESH JOURNAL OF BOTANY | 2023年 / 52卷 / 04期
关键词
Variability; Path analysis; Heritability; Genotypes; Pisum sativum; VAR.-HORTENSE L; GENETIC-VARIABILITY; CHARACTER ASSOCIATION;
D O I
10.3329/bjb.v52i4.70570
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
Twenty eight pea genotypes were evaluated for their genetic variability attributes under sub-tropical conditions of Himachal Pradesh during Rabi, 2021. The estimates of phenotypic coefficient of variation (PCV) and genotypic coefficient of variation (GCV) were high for plant height and pod weight. High heritability along with high genetic advance was observed in days to first flower, node at which first flower appear, days to 50 % flowering, pod length, pod weight, number of primary branches per plant, plant height, number of pods per plant and number of seeds per pod. Pod yield was positively and significantly correlated with pod length, pod weight, pod width, pod girth, number of pods per plant, number of seeds per pod, shelling percentage and TSS. The pod length exhibited highly positive and direct effect on pod yield followed by pod weight and plant height. Therefore, selection based on these traits could be effective for higher pod yield in pea genotypes.
引用
收藏
页码:907 / 914
页数:8
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