Results 61 to 70 of about 3,969,308 (281)

Genetic architecture of yield traits and popping quality in popcorn (Zea mays var. everta) inbred lines [PDF]

open access: yesElectronic Journal of Plant Breeding, 2014
Genetic architecture of yield, its attributing traits and popping quality traits were studied using diallel cross method involving ten inbred lines of popcorn through Hayman’s diallel approach.
N. V. Soni1* and S. M. Khanorkar2
doaj  

Analysis of epistasis: A genetic model for triploid endosperm traits

open access: yes浙江大学学报. 农业与生命科学版, 2007
A genetic model for triploid endosperm traits was proposed on the basis of diallel cross system to analyze additive by additive epistasis of direct effect (AA) and maternal effect (AmAm) along with direct additive effect, dominance effect, cytoplasm ...
CHENG Jun-qi   +3 more
doaj   +1 more source

Using genomic data to improve the estimation of general combining ability based on sparse partial diallel cross designs in maize

open access: yesCrop Journal, 2020
Evaluation of general combining ability (GCA) is crucial to hybrid breeding in maize. Although the complete diallel cross design can provide an efficient estimation, sparse partial diallel cross (SPDC) is more flexible in breeding practice.
Xin Wang   +5 more
doaj   +1 more source

INBREEDING DEPRESSION AND EXPECTANT GENETIC ADVANCE IN F2 HYBRIDS FABA BEAN (Vicia faba L) [PDF]

open access: yesMesopotamia Journal of Agriculture, 2017
The study aimed to evaluate the performance of hybrids and their parents for identify promising hybrids and the objectives to develop single cross hybrids in addition to estimate inbreeding depression , some genetic parameters , phenotypic and genotypic ...
Shamil AL-Hamdany
doaj   +1 more source

The augmented partial diallel cross [PDF]

open access: yesHeredity, 1980
The augmented partial diallel cross is a design for estimating general and specific combining abilities in which one or more primary lines are crossed with all others, but the lines of secondary interest form a partial diallel cross. There are up to four variances of inter-line comparisons, depending on whether the lines are primary or secondary and ...
openaire   +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

Formation, production and viability of oospores of Phytophthora infestans from potato and Solanum demissum in the Toluca Valley, central Mexico [PDF]

open access: yes, 2001
Aspects of the ecology of oospores of Phytophthora infestans were studied in the highlands of central Mexico. From an investigation of a random sample of strains, it was found that isolates differed in their average capability to form oospores when ...
Flier, W.G.   +3 more
core   +3 more sources

HETEROSIS AND COMBINING ABILITY FOR FIBER-TO-SEED ATTACHMENT FORCE, EARLINESS, YIELD AND YIELD COMPONENTS IN A HALF DIALLEL CROSS OF COTTON [PDF]

open access: yesArab Universities Journal of Agricultural Sciences, 2005
Seven cotton genotypes involving cvs. Giza 70, Giza, 77, Giza 86 and Giza 83 and the exotic varieties; Pima S7 and SeaIsland, as well as, the American Upland variety Tamcot C.E., were crossed in a diallel pattern, excluding reciprocals, in 2000 season to
M. Hassan Rokaya,   +3 more
doaj   +1 more source

Genetic control of soybean seed quality using partial diallel

open access: yesJournal of Seed Science, 2022
: The selection of soybean genotypes with seeds of high physiological quality is key to increasing the likelihood of establishment and success in the field and thus reaping higher yields.
Elisa de Melo Castro   +5 more
doaj   +1 more source

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

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