Genetical Analysis of Quantitative Traits

By M. Kearsey, H. S. Pooni. 2020

1,055 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/d3e2cefb2171435cbe6be46f717c0ebc8441e578

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In Artificial Intelligence

Citations in the corpus

Revisiting rice breeding methods – evaluating the use of rapid generation advance (RGA) for routine rice breeding (2017, background): “…fact, Kearsey and Pooni (1995) stated that ‘unless the heritability is high, selecting in the F2 generation gives very little return on effort’ and ‘inbreeding (i.e. SSD) followed by selection on family means can improve selection response by up to a factor of five or more’ (Kearsey & Pooni, 1995).”
Quantitative trait loci for yield and related traits in the wheat population Ning7840 × Clark (2006, background): “These are complex quantitative traits controlled by several genes and highly influenced by environmental conditions (Kearsey and Pooni 1996).”
An introduction to markers, quantitative trait loci (QTL) mapping and marker-assisted selection for crop improvement: The basic concepts (2005, background): “For a more detailed explanation of genetic linkage, the reader is encouraged to consult basic textbooks on genetics or quantitative genetics (for example, Hartl & Jones, 2001; Kearsey & Pooni, 1996).”
Gene action controlling grain yield and secondary traits in southern African maize hybrids under drought and non-drought environments (2008, result): “However, Khehra and Bhalla (1976) examined reciprocal differences under nondrought conditions and reported that cytoplasmic effects were not significant for grain yield, which is consistent with observations in the current study. Contrary to findings in the current study and that of Khehra and Bhall”
Relationships between grain protein content and grain yield components through quantitative trait locus analyses in a recombinant inbred line population derived from two elite durum wheat cultivars (2012, methodology): “To investigate the genetic relationship between QTL for protein content and other traits, a statistical procedure for estimating of adjusted values in a covariance analysis was combined with the QTL mapping (Kearsey and Pooni 1996).”
Crop modeling, QTL mapping, and their complementary role in plant breeding (2003, neutral): “On the based scaling of trait values (Kearsey and Pooni, 1996).”
Rapid and high-precision marker assisted backcrossing to introgress the SUB1 QTL into BR11, the rainfed lowland rice mega variety of Bangladesh (2011, background): “It is also known that the crossing-over interference is generally considered within at least 15 cM and the number of crossovers per chromosome per meiosis rarely exceeds four (Kearsey and Pooni 1996).”
QUASIREPLICATION AND THE CONTRACT OF ERROR: Lessons from Sex Ratios, Heritabilities and Fluctuating Asymmetry (2000, background): “Even though negative heritability estimates may make no sense theoretically, they should arise due to sampling error (66).”
Quantitative inheritance of some wheat plant traits (2004, methodology): “The type of epistasis was determined only when dominance (d) and dominance x dominance (dd) effects were significant, when these effects had the same sign the effects were complementary while different signs indicated duplicate epistasis (Kearsey and Pooni, 1996).”
Comprehending crystalline β-carotene accumulation by comparing engineered cell models and the natural carotenoid-rich system of citrus (2011, neutral): “Metal concentrations were measured by using inductively coupled plasma optical emission spectrometry SPS3000 (Seiko, Tokyo, Japan).”
Fishing, selection, and phenotypic evolution (2000, background): “The important phenotypic traits are quantitative, affected by genes acting at many loci, and quantitative genetics is therefore the appropriate framework for analysis of such evolution (Falconer and Mackay, 1996; Kearsey and Pooni, 1996; Lynch and Walsh, 1998).”
Effects of spatial autocorrelation, natal philopatry and phenotypic plasticity on the heritability of laying date (2002, background): “The second possibility is that a decrease in h2 is brought about by a decreasing effect of shared environments between parents and offspring because of an increasing difference between the environments in which parental and offspring genes are expressed, but without GEI (i.e. there exists plasticity”
The impact of genetic selection for increased milk yield on the welfare of dairy cows (2010, methodology): “Essentially, the statistical genetics method calculates an average of all genetic loci contributing to a trait as transmitted by the individual, and reports it as an estimated breeding value (EBV) (Lynch & Walsh 1998).”