Results 21 to 30 of about 1,386,053 (319)

Genetic analysis of earliness in chickpea (Cicer arietinum L.) using generation mean analysis [PDF]

open access: yesپژوهش‌های حبوبات ایران, 2012
This experiment was conducted to determine gene action for different traits of chickpea including days to 50% flowering, days to maturity, plant height, 100-seeds weight, number of pods per plant and seed yield.
Ezat Karami   +3 more
doaj   +1 more source

Gene action for yield and yield contributing traits in blackgram through generation mean analysis

open access: yesElectronic Journal of Plant Breeding, 2021
Generation mean analysis was worked out for three crosses of blackgram viz., VBN(Bg) 4 x CO 5, VBN(Bg) 4 x APK 1 and VBN(Bg) 4 x Mash 1008. Five parameter model was utilized in this study to identify the gene actions of various yield and yield ...
P. Sathya1,2, N. Manivannan2*, PL. Viswanathan2, N. Ganapathy3 and G. Karthikeyan3
doaj   +1 more source

Deciphering the Genetic Inheritance of Tocopherols in Indian Mustard (Brassica juncea L. Czern and Coss)

open access: yesPlants, 2022
Tocopherol is vital for the nutritional value and stability of Indian mustard (Brassica juncea L. Czern and Coss) oil; nonetheless, the lack of information on genetic control is hampering its improvement.
Vijay Kamal Meena   +9 more
doaj   +1 more source

Generation Mean Analysis and Molecular Markers for Drought Tolerance in Wheat during Germination and Seedling Stage [PDF]

open access: yesJournal of Agricultural Chemistry and Biotechnology, 2020
Generation mean analysis for drought tolerance was studied in wheat cross-1 (Pavon-76 X Gemmeiza-7) and cross-2 (ICR-DH18 X Pavon-76). The genotypes were evaluated under control and drought stress (15% polyethylene glycol 6000) at germination and ...
E. El-Farash   +4 more
doaj   +1 more source

Performance Analysis of AIM-K-means & K-means in Quality Cluster Generation

open access: yesCoRR, 2009
Among all the partition based clustering algorithms K-means is the most popular and well known method. It generally shows impressive results even in considerably large data sets. The computational complexity of K-means does not suffer from the size of the data set.
Samarjeet Borah, Mrinal Kanti Ghose
openaire   +2 more sources

Estimation genetic action of heritability percentage and inbreeding depression of four hybrids maize by generation mean analysis

open access: yes, 2022
The current study aims of to estimate genetic action, heritability percentage in its broad and narrow sense and inbreeding depression resulting from inbreeding, using the generation mean analysis method to analyze the generation\u27s means of hybrids ...
Banan Hassan Hadi   +5 more
core   +1 more source

Profile driven dataflow optimisation of mean shift visual tracking [PDF]

open access: yes, 2014
Profile guided optimisation is a common technique used by compilers and runtime systems to shorten execution runtimes and to optimise locality aware scheduling and memory access on heterogeneous hardware platforms.
Deepayan Bhowmik   +11 more
core   +1 more source

Recent Posts

open access: yesJournal of Pure and Applied Microbiology, 2017
The genetic analysis was carried out to determine mode of inheritance of yield and its contributing trait under two environments in irrigated and rainfed conditions.
Dan Singh Jakhar   +2 more
doaj   +1 more source

Generation mean analysis for quality characters in yard long bean (Vigna unguiculata subsp. sesquipedalis (L.) Verdcourt)

open access: yesElectronic Journal of Plant Breeding, 2018
Generation mean analysis in yard long bean was undertaken to estimate the gene action operating in the inheritance of quality characters pod protein (%) and keeping quality (% weight loss).
E. G. Merin   +2 more
doaj   +1 more source

Mean-risk models using two risk measures: A multi-objective approach

open access: yes, 2006
This paper proposes a model for portfolio optimisation, in which distributions are characterised and compared on the basis of three statistics: the expected value, the variance and the CVaR at a specified confidence level.
Diana Roman   +5 more
core   +1 more source

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