Inheritance and combining ability estimates for cowpea resistance to bruchid (Callosobruchus maculatus Fab.) in Benin cowpea

2021 ◽  
Vol 18 ◽  
pp. 100082
Author(s):  
Akovognon D. Kpoviessi ◽  
Hubert Adoukonou-Sagbadja ◽  
Symphorien Agbahoungba ◽  
Eric E. Agoyi ◽  
Achille E. Assogbadjo ◽  
...  
2018 ◽  
Vol 10 (9) ◽  
pp. 228-238 ◽  
Author(s):  
Belay Miesho Weldekidan ◽  
Mercy Msiska Ulemu ◽  
Mehari Gebremedhn Hailay ◽  
Maxwell Malinga Geoffrey ◽  
Obia Ongom Patrick ◽  
...  

2013 ◽  
Vol 2013 ◽  
pp. 1-5 ◽  
Author(s):  
Jeffrey N. Wilson ◽  
Michael R. Baring ◽  
Mark D. Burow ◽  
William L. Rooney ◽  
Charles E. Simpson

Peanut (Arachis hypogaeaL.) has the potential to become a major source of biodiesel, but for market viability, peanut oil yields must increase. Oil yield in peanut is influenced by many different components, including oil concentration, seed mass, and mean oil produced per seed. All of these traits can potentially be improved through selection as long as there is sufficient genetic variation. To assess the variation for these traits, a diallel mating design was used to estimate general combining ability, specific combining ability, and heritability. General combining ability estimates were significant for oil concentration, weight of 50 sound mature kernels (50 SMK), and mean milligrams oil produced per SMK (OPS). Specific combining ability was significant for oil concentration. Reciprocal effects were detected for OPS. Narrow-sense heritability estimates were very high for oil concentration and 50 SMK and low for OPS. The low OPS heritability estimate was caused by the negative correlation between oil concentration and seed size. Consequently, oil concentration and seed mass alone can be improved through early generation selection, but large segregating populations from high oil crosses will be needed to identify progeny with elevated oil concentrations that maintain acceptable seed sizes.


Author(s):  
Ranjana Patial ◽  
R. K. Mittal ◽  
V. K. Sood ◽  
Shahnawaz Ahmed

An experiment was carried out in blackgram using line x tester mating design to estimate the GCA effect of parents and SCA effect of 54 hybrids for yield and its traits using 27 lines and two testers. The relative estimates of variance due to specific combining ability (SCA) were higher than general combining ability (GCA) variances for all twelve traits, indicating predominance of non-additive gene action. Combining ability estimates showed significant genetic variance in lines for all traits whereas testers had significant genetic variance for nine traits. On the basis of GCA effects, among the lines and testers IC-436910, IC-413306, IC-398973, IC-343885 and HPBU-111 respectively, were good combiners for most of the traits and can be used in future breeding programme. Specific combining ability studies indicated cross IC-436910 x HPBU-111 as best specific combiner for the economically important traits viz., plant height, branches per plant, seed yield per plant and days to 75% maturity. Such crosses could be further exploited to obtain transgressive segregants in future breeding programme.


2021 ◽  
Vol 9 (1) ◽  
pp. 2980-2984
Author(s):  
Diksha Mishra ◽  
Anand Kumar Singh ◽  
Prateek Singh ◽  
Prachi Pattnaik ◽  
Bajrang Kumar ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document