Determination of Relationship and Path Co-efficient between Pod Yield and Yield Component Traits of Groundnut Cultivars

Twenty - five groundnut genotypes, obtained from National Oilseed Research Program (NORP), Nawalpur, Nepal along with local checks (B -4, Baidehi, Rajshree and Jayanti) were used to study correlation and path co-efficient among pod yield and yield component traits in groundnut. The pod yield ha-1 showed highly significant and positive association with days to maturity, sound matured kernel (SMK)%, pod length, pod width and kernel length but the highly significant and negative association was shown with days to flowering, pod plant-1, shoots length, shelling % and specific leaf area. Partitioning the total yield contributions into individual and combined effect showed that days to maturity, root length, pod width, pod length and kernel length made individual high positive direct contribution to pod yield ha-1.Days to flowering, shoot length, shelling %, SMK% and100 kernel weights had direct negative contribution with pod yield ha-1. Therefore, days to maturity, root length, pod width, pod length and kernel length were identified to be the important traits which could be used in selection for yield. DOI: http://dx.doi.org/10.3126/njst.v14i2.10409 Nepal Journal of Science and Technology Vol. 14, No. 2 (2013) 1-8

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CORRELATION AND PATH COEFFICIENT ANALYSIS OF FOURTEEN DIFFERENT GENOTYPES OF LABLAB BEAN (Lablab purpureus L.)

Bangladesh Journal of Plant Breeding and Genetics ◽

10.3329/bjpbg.v27i1.23976 ◽

2015 ◽

Vol 27 (1) ◽

pp. 37-44

Author(s):

Asaduzzaman Zaman ◽

M. J. H. Bhuiyan ◽

M. A. Hossain ◽

Sharif-Ar Raffi

Keyword(s):

Protein Content ◽

Seed Yield ◽

Significant Negative Correlation ◽

Test Weight ◽

Path Coefficient ◽

Lablab Purpureus ◽

Pod Yield ◽

Days To Maturity ◽

Positive Direct ◽

Pod Length

Fourteen genotypes of Lablab bean were studied for sixteen yield and yield contributing characters. The experiment was conducted at Field Laboratory of Department of Genetics and Plant Breeding, Bangladesh Agricultural University, Mymensingh. Seed yield per plant showed positive and significant correlation with days to maturity, number of raceme per plant, raceme length, pod length, green pod yield per plant, green test weight and shelling percentage and significant negative correlation with days to maturity, number of seeds per pod and protein content at both phenotypic and genotypic levels. Path analysis revealed that green pod length exhibited high positive direct effect on number of raceme per plant, raceme length, green pod width, dry test weight and shelling percentage. The direct negative effects on seed yield were observed by days to maturity, number of flower buds per raceme, green pod yield per plant, green test weight and protein content and revealed the importance of these traits for simultaneous selection of plant for yield improvement.

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Combining Ability and Heterosis for Some Yield Component Traits in a 10x10 Diallel Cross of Rice (Oryza sativa L.)

Asian Journal of Research in Crop Science ◽

10.9734/ajrcs/2020/v5i430102 ◽

2020 ◽

pp. 24-34

Author(s):

T. Vange ◽

G. O. S. Ojo ◽

A. M. Ladan

Keyword(s):

Combining Ability ◽

Oryza Sativa L ◽

Yield Component ◽

Leaf Length ◽

Panicle Length ◽

Rice Varieties ◽

Additive Variance ◽

Days To Flowering ◽

Component Traits ◽

Yield Component Traits

A ten – parent diallel experiment was carried out at the Teaching and Research Farms of the Federal University of Agriculture, Makurdi, Nigeria, to estimate combining ability and heterosis in rice. The design was a 10x10 alpha lattice with three replications and data was collected on plant height (PH), tiller numbers/plant (TN), leaf length (LL) and width (LW), days to flowering (DF), panicle length (PL), panicle exsertion (PE), spikelet numbers/panicle (SN), 100 seed weight (100SW) and days to maturity(DM). A preponderance of both additive and non – additive gene action with both negative and positive GCA, SCA and % heterosis was observed in the control of yield component traits in the studied rice varieties and their hybrids. Non – additive variance was higher, except for DF, SN and DM where additive variance was higher compared to non – additivity. Six parents, namely MGD 101, FARO 44, FARO 52, FARO 57, STRASSA 58 and IR 72 recorded the highest GCA values for most of the traits and the least values in terms of days to flowering and maturity. These parents were the most frequent in crosses with the highest SCA effects and % heterosis for Tiller number, Leaf length, leaf width, panicle length and Spikelet numbers/panicle. Crosses involving these six parents also recorded the least SCA effects and % heterosis for days to flowering and maturity. Based on the results of GCA, SCA and % heterosis, backcross breeding of F1s to their respective parents (the six parents), was recommended for improvement of yield component traits.

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Heterosis and Combining Ability for Grain Yield and Yield Component Traits of Maize in Eastern Ethiopia

Current Agriculture Research Journal ◽

10.12944/carj.3.2.05 ◽

2015 ◽

Vol 3 (2) ◽

pp. 118-127 ◽

Cited By ~ 2

Author(s):

Habtamu Zeleke

Keyword(s):

Grain Yield ◽

Combining Ability ◽

Genetic Variance ◽

Additive Genetic Variance ◽

Kernel Weight ◽

Yield Component ◽

Days To Maturity ◽

Component Traits ◽

The Mean ◽

Yield Component Traits

Combining ability analysis for grain yield and yield component traits in maize were carried out in 8×8 diallel cross. The analysis of variance showed there is highly significant variation between the genotypes for all the traits considered. Year of testing was significant only for days to maturity and grain yield per hectare. The highest percentage of heterosis for grain over the standard varieties (BH 660) was observed by the cross L1 x L4 (29.3%) followed by crosses L1 x L5 (28.3%), L3 x L5 (21.7%) and L1 x L7 (20.8%). Mid-parent heterosis for days to maturity ranged from -2.5 to -23.9%, whereas that of better parent heterosis ranged from 0 to -13% indicating that the hybrids tend to be earlier in maturity than the parents. The mean squares due to GCA for days to maturity, ear diameter, member of kernels per row, 1000 kernel weight and grain yield were significant, indicating the importance of additive genetic variance in controlling these traits. The mean squares due to SCA were also significant for days to maturity, ear length, member of kernels per row and 1000 kernel weight indicating the importance of non-additive genetic variance in controlling these traits. The inbred lines L1, L3, and L4 were good general combiners for grain yield.

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Quantitative trait loci identification for yield component traits in an Indonesian local rice variety, Untup Rajab

IOP Conference Series Earth and Environmental Science ◽

10.1088/1755-1315/762/1/012011 ◽

2021 ◽

Vol 762 (1) ◽

pp. 012011

Author(s):

M Yunus ◽

D Satyawan ◽

A Dadang ◽

A Warsun

Keyword(s):

Quantitative Trait Loci ◽

Quantitative Trait ◽

Rice Variety ◽

Yield Component ◽

Trait Loci ◽

Component Traits ◽

Yield Component Traits

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Evaluating Genotype × Environment Interactions of Yield Traits and Adaptability in Rice Cultivars Grown under Temperate, Subtropical and Tropical Environments

Agriculture ◽

10.3390/agriculture11060558 ◽

2021 ◽

Vol 11 (6) ◽

pp. 558

Author(s):

Xing Huang ◽

Su Jang ◽

Backki Kim ◽

Zhongze Piao ◽

Edilberto Redona ◽

...

Keyword(s):

Yield Component ◽

Yield Potential ◽

High Yield ◽

Environment Interaction ◽

Accurate Identification ◽

Rice Varieties ◽

Panicle Number ◽

Tropical Conditions ◽

Component Traits ◽

Yield Component Traits

Rice yield is a complex trait that is strongly affected by environment and genotype × environment interaction (GEI) effects. Consideration of GEI in diverse environments facilitates the accurate identification of optimal genotypes with high yield performance, which are adaptable to specific or diverse environments. In this study, multiple environment trials were conducted to evaluate grain yield (GY) and four yield-component traits: panicle length, panicle number, spikelet number per panicle, and thousand-grain weight. Eighty-nine rice varieties were cultivated in temperate, subtropical, and tropical regions for two years. The effects of both GEI (12.4–19.6%) and environment (23.6–69.6%) significantly contributed to the variation of all yield-component traits. In addition, 37.1% of GY variation was explained by GEI, indicating that GY performance was strongly affected by the different environmental conditions. GY performance and genotype stability were evaluated using simultaneous selection indexing, and 19 desirable genotypes were identified with high productivity and broad adaptability across temperate, subtropical, and tropical conditions. These optimal genotypes could be recommended for cultivation and as elite parents for rice breeding programs to improve yield potential and general adaptability to climates.

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