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Book: Physiology and Modeling Kernel Set in Maize
Published by: Crop Science Society of America and American Society of Agronomy

 

This chapter in PHYSIOLOGY AND MODELING KERNEL SET IN MAIZE

  1.  p. 115-130
    CSSA Special Publication 29.
    Physiology and Modeling Kernel Set in Maize

    Mark Westgate and Ken Boote (ed.)

    ISBN: 978-0-89118-608-3

     

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doi:10.2135/cssaspecpub29.c8

Physiological Parameters Associated with Differences in Kernel Set Among Maize Hybrids

  1. M. Tollenaar,
  2. L. M. Dwyer,
  3. D. W. Stewart and
  4. B. L. Ma
  1. University of Guelph, Guelph, Ontario, Canada
    ECORC, AAFC, Ottawa, Ontario, Canada

Abstract

Simulation models of development, dry matter accumulation, and grain yield in maize (Zea mays L.) require an accurate estimate of kernel set when grain yield is estimated as the product of kernel number and mean kernel weight. Number of ovules initiated per plant is commonly an order of magnitude greater than kernel number per plant at physiological maturity, but kernel number may limit grain yield when abiotic or biotic stresses occur during a period around silking, that is, the critical phase for kernel set. Kernel number at maturity is related to plant photosynthesis during the critical phase of kernel set and the impact of stress on kernel number can be expressed through the effects of stress on plant photosynthesis. Determination of kernel number in a maize model requires (i) delineation of the critical phase of kernel set, (ii) quantification of the impact of stress on kernel set during different periods of the critical phase for kernel set, (iii) effect of relative maturity of the maize genotype, and (iv) genetic parameters that determine differences in kernel set among maize hybrids (i.e., genetic coefficients). Kernel set may only be indirectly related to plant photosynthesis during the critical phase, but separating the establishment of kernel number from plant photosynthesis during this phase may actually result in a reduction in grain yield, as the smaller source/sink ratio during the grain-filling period may result in accelerated leaf senescence and reduced dry matter accumulation. In conclusion, simulation of grain yield in maize requires quantitative information on relationships between rate of plant photosynthesis or dry matter accumulation and kernel number per plant during various subphases of the critical phase of kernel set and genetic coefficients for parameters determining kernel set that differ among hybrids and maturity groups.

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