Results 91 to 100 of about 25,480 (248)

Genetic control of husked nut weight in coconut (Cocos nucifera) [PDF]

open access: yes, 1996
The genetic control of husked nut weight in coconut (Cocos nucifera) was investigated using a full-diallel cross including eight parents. The parents were selected sample of palms which gave an annual mean yield of 23 kg of copra per palm with 713 gm of
Fernando, W.M.U.
core   +1 more source

Diallel analysis and estimation of genetic parameters of hot pepper (Capsicum chinense Jacq.). [PDF]

open access: yes, 2019
The degree of heterosis in the genus Capsicum spp. is considered high; however, most of the studies refer to the species Capsicum annuum L. In spite of the potential use of F1 hybrids in pungent peppers of the species Capsicum chinense, few studies are ...
MALUF, W. R., SOUSA, J. A. de
core   +1 more source

Genomic selection of maize test‐cross hybrids leveraged by marker sampling

open access: yesThe Plant Genome, Volume 18, Issue 2, June 2025.
Abstract Maize (Zea mays L.) is a staple crop and the most cultivated cereal worldwide. The expansion of this crop was possible due to efforts in management and breeding. From the breeding standpoint, advances were achieved through field experimental design and analyses, establishing heterotic patterns, and releasing heterotic hybrids.
Arthur Bernardeli   +6 more
wiley   +1 more source

Combining ability analysis for yield contributing characters in chickpea [PDF]

open access: yesElectronic Journal of Plant Breeding, 2014
In the present investigation, six genotypes of chickpea viz., PG0127, PG0126, CSG8962, ICCL87322, HC-1 and BG362 were used as parents for 6 × 6 diallel analysisexcluding reciprocals to estimate general and specific combining ability variances and effects.
Jairam Amadabade, Anju Arora, Hemant Sahu
doaj  

SIP04 Defect Elimination Wheat [PDF]

open access: yes, 2007
Defect elimination in wheat.
Colson, Emma.
core  

Leveraging Automated Machine Learning for Environmental Data‐Driven Genetic Analysis and Genomic Prediction in Maize Hybrids

open access: yesAdvanced Science, Volume 12, Issue 17, May 8, 2025.
An automated machine learning framework integrating environmental and genomic data enhances genetic analysis and genomic prediction in maize. By leveraging dimension‐reduced environmental parameters, it reveals trait‐environment relationships and identifies genetic markers that govern phenotypic plasticity and genotype‐by‐environment interactions.
Kunhui He   +12 more
wiley   +1 more source

Pendugaan Parameter Genetik Populasi Cabai (Capsicum Annuum L.) melalui Pengujian F1 Hasil Persilangan secara Diallel [PDF]

open access: yes, 2014
The objective of this research were to estimate genetic parameters such as variability, heritability, general combining ability (GCA), and specific combining ability (SCA), of various agronomic traits in Chili population through diallel cross.
alfian, D. (Dedy)   +2 more
core  

Combining ability and heterosis for grain yield and yield component traits in maize (Zea mays L.)

open access: yesElectronic Journal of Plant Breeding
The present investigation was conducted on maize hybrids to determine the extent of heterosis and combining ability for 12 quantitative traits including yield and its contributing traits during Kharif, 2021.
V. Shasi Kiran Reddy, Digbijaya Swain*, Saswaty Priyadarshini Sahoo, Arjun Kumar Agarwal, Devraj Lenka, Mihir Ranjan Mohanty and Mandakini Kabi
doaj   +1 more source

Heterosis for seed yield and yield components over environments in castor (Ricinus communis L.) [PDF]

open access: yesElectronic Journal of Plant Breeding, 2011
Investigation with 10 diverse inbreds, their 45 hybrids (generated by diallel mating design excluding reciprocals) along with two standard checks viz; GCH-4 and GCH-5 was taken up over four environments (two fertility levels and two sowing dates) to ...
K.N. Chaudhari, R.F. Chaudhary, D.K. Patel, Ashish Kanwal, H.N. Patel, H.C. Pathak and B.H. Prajapari
doaj  

Combining Ability for Agromorphological and Physiological Traits in Different Gene Pools of Common Bean Subjected to Water Deficit

open access: yesAgronomy, 2019
Water stress is one of the main limiting factors for common bean crops, negatively affecting grain yield and seed quality. Thus, the objective of this study was to evaluate the inheritance of agromorphological and physiological traits related to drought ...
Isabella Mendonça Arruda   +5 more
doaj   +1 more source

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