Xenia and Maternal Effects on Maize Kernel Development

Seka, D.; Cross, H. Z.

doi:10.2135/cropsci1995.0011183x003500010014x

Cited by 28 publications

(15 citation statements)

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“…Moreover, the kernel traits may be subject to GE interaction modification. Similar results have been widely reported about nuclear gene effects of embryo and endosperm (e.g., xenia effects), cytoplasm and maternally controlled genetic effects as well as environmental effects on seed traits in maize (Garwood et al, 1970;Rao & Fleming 1979;Tsai & Tsai 1990;Weiland 1992;Pratt et al, 1995;Seka & Cross 1995). These facts require us to simultaneously consider all possible sources rather than a single source in genetic studies on seed traits for exposing the whole genetic architecture.…”

Section: Discussionsupporting

confidence: 80%

Genetic control of the opaque-2 gene and background polygenes over some kernel traits in maize (Zea mays L.)

et al. 2005

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Some kernel traits of agronomical importance in maize are affected by the opaque-2 (o2) gene and background polygenes, which express in different genetic systems such as embryo, endosperm, cytoplasm and maternal plant. A genetic model for seed quantitative traits with the o2 gene effects and polygenic effects as well as their GE interactions was used for protein content, lysine content, oil content and kernel density in maize. The results suggested that the o2 gene was involved in the traits investigated but the effects of the o2 gene were distinctive on various traits. The effects of the o2 gene were large on lysine content and protein content while minor on oil content. There was a substantially wide quantitative variation from polygenes expressing in different genetic systems for the traits evaluated. Significant GE interactions of the o2 gene and background polygenes declared that not only the main effects but also specific expressions depending on environments were responsible for variation of the traits studied. There seemed to have strong maternal heterosis and slight embryo heterosis for kernel density.

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Section: Discussionsupporting

confidence: 80%

Genetic control of the opaque-2 gene and background polygenes over some kernel traits in maize (Zea mays L.)

et al. 2005

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“…[15], [21] Although there are many factors that could affect the GFR during the three phases, the genotype has the most important role in affecting the GFR in cereal crops. [22], [23] Under these circumstances, the GFR shows a logistic curve during the grain filling procedure.…”

Section: Introductionmentioning

confidence: 99%

Genetic Analysis of Grain Filling Rate Using Conditional QTL Mapping in Maize

et al. 2013

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The grain filling rate (GFR) is an important dynamic trait that determines the final grain yield and is controlled by a network of genes and environment factors. To determine the genetic basis of the GFR, a conditional quantitative trait locus (QTL) analysis method was conducted using time-related phenotypic values of the GFR collected from a set of 243 immortalized F2 (IF2) population, which were evaluated at two locations over 2 years. The GFR gradually rose in the 0–15 days after pollination (DAP) and 16–22 DAP, reaching a maximum at 23–29 DAP, and then gradually decreasing. The variation of kernel weight (KW) was mainly decided by the GFR, and not by the grain filling duration (GFD). Thirty-three different unconditional QTLs were identified for the GFR at the six sampling stages over 2 years. Among them, QTLs qGFR7b, qGFR9 and qGFR6d were identified at the same stages at two locations over 2 years. In addition, 14 conditional QTLs for GFR were detected at five stages. The conditional QTL qGFR7c was identified at stage V|IV (37–43 DAP) at two locations over 2 years, and qGFR7b was detected at the sixth stage (44–50 DAP) in all four environments, except at Anyang location in 2009. QTLs qQTL7b and qQTL6f were identified by unconditional and conditional QTL mapping at the same stages, and might represent major QTLs for regulating the GFR in maize in the IF2 population. Moreover, most of the QTLs identified were co-located with QTLs from previous studies that were associated with GFR, enzyme activities of starch synthesis, soluble carbohydrates, and grain filling related genes. These results indicated that the GFR is regulated by many genes, which are specifically expressed at different grain filling stages, and the specific expression of the genes between 16–35 DAP might be very important for deciding the final kernel weight.

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“…Both dry-matter and water content of grain changes simultaneously during grain development after pollination in maize Zea mays L. Although several environmental factors had great influence on them [1,2], they were all genetically controlled quantitative traits with middle to high heritability [3][4][5][6][7][8][9][10][11][12][13][14]. According to the theory of developmental genetics, genes are expressed selectively at different growth stages [15] and the development of morphological traits occurs through the actions and interactions of many genes differentially expressed during growth periods [16].…”

Section: Introductionmentioning

confidence: 99%

QTL Detection for Grain Water Relations and Genetic Correlations with Grain Matter Accumulation at Four Stages after Pollination in Maize

Yang¹

2014

J Plant Biochem Physiol

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Grain water relations were closely correlated with matter accumulation during grain development. In this study, QTL mapping for Grain Water Content (GWC) at four stages after pollination and Grain Dehydration Rate (GDR) during six intervals were done using 258 Recombinant Inbred Lines (RIL). Meta-QTL (mQTL) was revealed by meta-analysis using Bio Mercator for both traits herein and together with seven traits related with grain matter accumulation in our previous research. Among 40 QTL detected for GWC and 35 QTL for GDR, 45 QTL were stage/period specific. QTL on chromosome 5 could be considered as full-stage QTL. Eight of 11 mQTL included QTL for both traits. Grain matter traits were positively correlated with GWC, but negatively correlated with GDR in most cases. Low coincidences in QTL position and opposite allelic effects for two kinds of traits suggested that their simultaneous improvement might be realized. Selection for low grain moisture could be focused on QTL at bins 1.07-1.08, 2.08, 4.

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Xenia and Maternal Effects on Maize Kernel Development

Cited by 28 publications

References 0 publications

Genetic control of the opaque-2 gene and background polygenes over some kernel traits in maize (Zea mays L.)

Genetic control of the opaque-2 gene and background polygenes over some kernel traits in maize (Zea mays L.)

Genetic Analysis of Grain Filling Rate Using Conditional QTL Mapping in Maize

QTL Detection for Grain Water Relations and Genetic Correlations with Grain Matter Accumulation at Four Stages after Pollination in Maize

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