![](images/graphics/blank.gif)
Epistasis model
-
How to map quantitative trait loci (QTL) with epistasis efficiently and reliably has been a persistent problem for QTL mapping analysis. There are a number of difficulties for studying epistatic QTL. Linkage can impose a significant challenge for finding epistatic QTL reliably.
13p
vinarcissa
21-03-2023
4
1
Download
-
Fitness epistasis, the interaction effect of genes at different loci on fitness, makes an important contribution to adaptive evolution. Although fitness interaction evidence has been observed in model organisms, it is more difficult to detect and remains poorly understood in human populations as a result of limited statistical power and experimental constraints.
13p
vijeeni2711
24-07-2021
9
0
Download
-
Given a set of biallelic molecular markers, such as SNPs, with genotype values encoded numerically on a collection of plant, animal or human samples, the goal of genetic trait prediction is to predict the quantitative trait values by simultaneously modeling all marker effects.
9p
vioklahoma2711
19-11-2020
9
1
Download
-
Epistasis marker effect models incorporating products of marker values as predictor variables in a linear regression approach (extended GBLUP, EGBLUP) have been assessed as potentially beneficial for genomic prediction, but their performance depends on marker coding.
16p
vioklahoma2711
19-11-2020
8
1
Download
-
Mining epistatic loci which affects specific phenotypic traits is an important research issue in the field of biology. Bayesian network (BN) is a graphical model which can express the relationship between genetic loci and phenotype.
18p
vicolorado2711
23-10-2020
11
2
Download
-
Epistasis is defined as the interaction between different genes when expressing a specific phenotype. The most common way to characterize an epistatic relationship is using a penetrance table, which contains the probability of expressing the phenotype under study given a particular allele combination.
9p
vicolorado2711
22-10-2020
10
0
Download
-
The assessment of nature of gene effect for yield and its contributing traits and detection of epistasis in wheat was studied in five crosses involving seven parents through generation mean analysis. Scaling test and joint scaling test were showed significant for almost traits all crosses. Additive gene effects (d) were positively significant for days to maturity and tillers per plant in cross II; for seed per plant in cross IV.
11p
chauchaungayxua5
05-05-2020
15
2
Download
-
The adequacy of different genetic models and nature and magnitude of gene effects responsible for the expression of seed yield and important yield contributing characters were studied in mustard. 6 generations of two crosses viz; MRNJ 88-1 X JMWR 9081-1 (Family A), MRNJ 131 X JMWR 9081-2 (Family B) sown in Compact Family Block Design were investigated.
7p
cothumenhmong3
22-02-2020
17
1
Download
-
Generation mean analysis was employed in two crosses viz., MDU 1 x Mash 114 and MDU 1 x Mash 1008 of balckgram to partition the mean into various components viz., additive, dominance and epistasis. Traits viz., number of clusters per plant, pod length, and number of seeds per pod were controlled by additive gene action in the cross MDU 1 x Mash 114. The additive as well as additive x additive type of gene action were in control of seed yield per plant, MYMV disease scores and most of yield components in the cross MDU 1 x Mash 114.
7p
nguathienthan2
25-12-2019
12
1
Download
-
Generation mean analysis study in cowpea was undertaken to estimate the gene action operating in the inheritance of yield and its components using six basic generations viz. P1, P2, F1, F2, BC1 and BC2 of two different crosses namely PGCP-63 X Pant Lobia-1 and Pant Lobia-3 x Pant Lobia-1 were studied. For most of the studied traits, additive, dominant, additive x additive, additive x dominance and dominance x dominance were significant. Additive effect significantly contributed for number of pods per plant and 100 seed weight.
7p
cothumenhmong1
08-12-2019
5
0
Download
CHỦ ĐỀ BẠN MUỐN TÌM
![](images/graphics/blank.gif)