Literature DB >> 24193380

Improving efficiency of breeding for higher crop yield.

D H Wallace1, J P Baudoin, J Beaver, D P Coyne, D E Halseth, P N Masaya, H M Munger, J R Myers, M Silbernagel, K S Yourstone, R W Zobel.   

Abstract

Exclusive selection for yield raises, the harvest index of self-pollinated crops with little or no gain in total bipmass. In addition to selection for yield, it is suggested that efficient breeding for higher yield requires simultaneous selection for yield's three major, genetically controlled physiological components. The following are needed: (1) a superior rate of biomass accumulation. (2) a superior rate of actual yield accumulation in order to acquire a high harvest index, and (3) a time to harvest maturity that is neither shorter nor longer than the duration of the growing season. That duration is provided by the environment, which is the fourth major determinant of yield. Simultaneous selection is required because genetically established interconnections among the three major physiological components cause: (a) a correlation between the harvest index and days to maturity that is usually negative; (b) a correlation between the harvest index and total biomass that is often negative, and (c) a correlation between biomass and days to maturity that is usually positive. All three physiological components and the correlations among them can be quantified by yield system analysis (YSA) of yield trials. An additive main effects and multiplicative interaction (AMMI) statistical analysis can separate and quantify the genotype × environment interaction (G × E) effect on yield and on each physiological component that is caused by each genotype and by the different environment of each yield trial. The use of yield trials to select parents which have the highest rates of accumulation of both biomass and yield, in addition to selecting for the G × E that is specifically adapted to the site can accelerate advance toward the highest potential yield at each geographical site. Higher yield for many sites will raise average regional yield. Higher yield for multiple regions and continents will raise average yield on a world-wide basis. Genetic and physiological bases for lack of indirect selection for biomass from exclusive selection for yield are explained.

Year:  1993        PMID: 24193380     DOI: 10.1007/BF00223805

Source DB:  PubMed          Journal:  Theor Appl Genet        ISSN: 0040-5752            Impact factor:   5.699


  5 in total

1.  Growth disorders and phenotype variability in phytotron-cultivated barley.

Authors:  I Dormling; A Gustafsson; G Ekman
Journal:  Hereditas       Date:  1975       Impact factor: 3.271

2.  Improving grain yield in backcross populations from Avena sativa × A. sterilis matings by using independent culling for harvest index and vegetative growth index or unit straw weight.

Authors:  K Takeda; K J Frey
Journal:  Theor Appl Genet       Date:  1987-09       Impact factor: 5.699

3.  Photoperiod gene control over partitioning between reproductive and vegetative growth.

Authors:  D H Wallace; K S Yourstone; P N Masaya; R W Zobel
Journal:  Theor Appl Genet       Date:  1993-03       Impact factor: 5.699

4.  A whole-system reconsideration of paradigms about photoperiod and temperature control of crop yield.

Authors:  D H Wallace; R W Zobel; K S Yourstone
Journal:  Theor Appl Genet       Date:  1993-03       Impact factor: 5.699

5.  Species variation in kinetic properties of ribulose 1,5-bisphosphate carboxylase/oxygenase.

Authors:  D B Jordan; W L Ogren
Journal:  Arch Biochem Biophys       Date:  1983-12       Impact factor: 4.013

  5 in total
  8 in total

1.  Photoperiod gene control over partitioning between reproductive and vegetative growth.

Authors:  D H Wallace; K S Yourstone; P N Masaya; R W Zobel
Journal:  Theor Appl Genet       Date:  1993-03       Impact factor: 5.699

2.  Marker association study of yield attributing traits in common bean (Phaseolus vulgaris L.).

Authors:  Nancy Gupta; Sajad Majeed Zargar; Ravinder Singh; Muslima Nazir; Reetika Mahajan; R K Salgotra
Journal:  Mol Biol Rep       Date:  2020-08-27       Impact factor: 2.316

3.  Phenotypic evaluation of agronomic and root related traits for drought tolerance in recombinant inbred line population derived from a chickpea cultivar (C. arietinum L.) and its wild relative (C. reticulatum).

Authors:  Ashutosh Kushwah; Dharminder Bhatia; Gurpreet Singh; Inderjit Singh; Suruchi Vij; Shayla Bindra; Kadambot H M Siddique; Harsh Nayyar; Sarvjeet Singh
Journal:  Physiol Mol Biol Plants       Date:  2022-08-13

4.  A whole-system reconsideration of paradigms about photoperiod and temperature control of crop yield.

Authors:  D H Wallace; R W Zobel; K S Yourstone
Journal:  Theor Appl Genet       Date:  1993-03       Impact factor: 5.699

5.  Genetic dissection of days to flowering via genome-wide association studies in Turkish common bean germplasm.

Authors:  Muhammad Azhar Nadeem; Ephrem Habyarimana; Tolga Karaköy; Faheem Shehzad Baloch
Journal:  Physiol Mol Biol Plants       Date:  2021-07-02

6.  Genome-wide associations and epistatic interactions for internode number, plant height, seed weight and seed yield in soybean.

Authors:  Teshale Assefa; Paul I Otyama; Anne V Brown; Scott R Kalberer; Roshan S Kulkarni; Steven B Cannon
Journal:  BMC Genomics       Date:  2019-06-26       Impact factor: 3.969

7.  Shoot traits and their relevance in terminal drought tolerance of chickpea (Cicer arietinum L.).

Authors:  Purushothaman Ramamoorthy; Krishnamurthy Lakshmanan; Hari Deo Upadhyaya; Vincent Vadez; Rajeev Kumar Varshney
Journal:  Field Crops Res       Date:  2016-10       Impact factor: 5.224

Review 8.  Physiology Based Approaches for Breeding of Next-Generation Food Legumes.

Authors:  Arun S K Shunmugam; Udhaya Kannan; Yunfei Jiang; Ketema A Daba; Linda Y Gorim
Journal:  Plants (Basel)       Date:  2018-09-08
  8 in total

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