Literature DB >> 2249767

Use of a controlled-nutrient experiment to test heterosis hypotheses.

B Griffing1.   

Abstract

A controlled-nutrient (CN) experiment was conducted to test three heterosis hypotheses with reference to tomato yield, and its components, for a set of two inbred lines and their hybrid that had previously exhibited considerable heterosis under field conditions. The CN treatments consisted of periodic applications of differential doses of nutrient solution to plants reared individually in containers filled with vermiculite. Ripe fruit were harvested, counted and weighed over a period of 340 days. The data permitted the partitioning of yield into a closed system of five component variables. Heterosis was not exhibited by yield, nor yield components, at any of the four nutrient levels. Hence the total heterosis phenomenon was classified as nutrient-dependent: heterosis occurring under field conditions, but not under the nutritional restrictions of the CN experiment. Three heterosis hypotheses were examined for their ability to explain all of the nutrient-dependent aspects of the heterosis phenomenon. Hypothesis 1: Heterosis is a consequence of a more efficient hybrid metabolic system in that it can produce more product with equal input. Hypothesis 2: Heterosis is a consequence of the somatic multiplication of additive component traits. Hypothesis 3: Heterosis is a consequence of a faster hybrid growth rate. Although none of the hypotheses are rejected by the field data, the first two are rejected by the CN experimental results. The third hypothesis fits all aspects of the nutrient-dependent heterosis phenomenon remarkably well. It is speculated that the indeterminate pattern of plant development responsible for yield and its components is due to two major gene systems: genes that determine morphogenetic, and genes that determine growth rate manifestations of growth. Under this hypothesis, the CN technique permits separation of the responses due to these two gene systems.

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Year:  1990        PMID: 2249767      PMCID: PMC1204229     

Source DB:  PubMed          Journal:  Genetics        ISSN: 0016-6731            Impact factor:   4.562


  5 in total

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Authors:  B Griffing; E Zsiros
Journal:  Genetics       Date:  1971-07       Impact factor: 4.562

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Authors:  S B Rood; R I Buzzell; L N Mander; D Pearce; R P Pharis
Journal:  Science       Date:  1988-09-02       Impact factor: 47.728

  5 in total
  10 in total

1.  Detecting epistatic genetic variance with a clonally replicated design: models for lowvs high-order nonallelic interaction.

Authors:  R L Wu
Journal:  Theor Appl Genet       Date:  1996-07       Impact factor: 5.699

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Authors:  Y Eshed; G Gera; D Zamir
Journal:  Theor Appl Genet       Date:  1996-10       Impact factor: 5.699

3.  Transcriptomic analysis of growth heterosis in larval Pacific oysters (Crassostrea gigas).

Authors:  Dennis Hedgecock; Jing-Zhong Lin; Shannon DeCola; Christian D Haudenschild; Eli Meyer; Donal T Manahan; Ben Bowen
Journal:  Proc Natl Acad Sci U S A       Date:  2007-02-02       Impact factor: 11.205

4.  High genetic load in the Pacific oyster Crassostrea gigas.

Authors:  S Launey; D Hedgecock
Journal:  Genetics       Date:  2001-09       Impact factor: 4.562

5.  Sex modifies genetic effects on residual variance in urinary calcium excretion in rat (Rattus norvegicus).

Authors:  Guy M L Perry; Keith W Nehrke; David A Bushinsky; Robert Reid; Krista L Lewandowski; Paul Hueber; Steven J Scheinman
Journal:  Genetics       Date:  2012-05-02       Impact factor: 4.562

6.  Genetic analysis of variation in gene expression in Arabidopsis thaliana.

Authors:  Marnik Vuylsteke; Fred van Eeuwijk; Paul Van Hummelen; Martin Kuiper; Marc Zabeau
Journal:  Genetics       Date:  2005-07-14       Impact factor: 4.562

7.  Genetic causes of heterosis in juvenile aspen:a quantitative comparison across intra- and inter-specific hybrids.

Authors:  B Li; R Wu
Journal:  Theor Appl Genet       Date:  1996-08       Impact factor: 5.699

8.  Transcriptome analysis of rice root heterosis by RNA-Seq.

Authors:  Rongrong Zhai; Yue Feng; Huimin Wang; Xiaodeng Zhan; Xihong Shen; Weiming Wu; Yingxin Zhang; Daibo Chen; Gaoxing Dai; Zhanlie Yang; Liyong Cao; Shihua Cheng
Journal:  BMC Genomics       Date:  2013-01-16       Impact factor: 3.969

9.  Genetic analysis for the grain number heterosis of a super-hybrid rice WFYT025 combination using RNA-Seq.

Authors:  Liang Chen; Jianmin Bian; Shilai Shi; Jianfeng Yu; Hira Khanzada; Ghulam Mustafa Wassan; Changlan Zhu; Xin Luo; Shan Tong; Xiaorong Yang; Xiaosong Peng; Shuang Yong; Qiuying Yu; Xiaopeng He; Junru Fu; Xiaorong Chen; Lifang Hu; Linjuan Ouyang; Haohua He
Journal:  Rice (N Y)       Date:  2018-06-15       Impact factor: 4.783

10.  Genetic Effects on Dispersion in Urinary Albumin and Creatinine in Three House Mouse (Mus musculus) Cohorts.

Authors:  Guy M L Perry
Journal:  G3 (Bethesda)       Date:  2019-03-07       Impact factor: 3.154

  10 in total

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