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Path and Ridge Regression Analysis of Seed Yield and Seed Yield Components of Russian Wildrye (Psathyrostachys juncea Nevski) under Field Conditions

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  • Quanzhen Wang
  • Tiejun Zhang
  • Jian Cui
  • Xianguo Wang
  • He Zhou
  • Jianguo Han
  • René Gislum

Abstract

The correlations among seed yield components, and their direct and indirect effects on the seed yield (Z) of Russina wildrye (Psathyrostachys juncea Nevski) were investigated. The seed yield components: fertile tillers m-2 (Y1), spikelets per fertile tillers (Y2), florets per spikelet- (Y3), seed numbers per spikelet (Y4) and seed weight (Y5) were counted and the Z were determined in field experiments from 2003 to 2006 via big sample size. Y1 was the most important seed yield component describing the Z and Y2 was the least. The total direct effects of the Y1, Y3 and Y5 to the Z were positive while Y4 and Y2 were weakly negative. The total effects (directs plus indirects) of the components were positively contributed to the Z by path analyses. The seed yield components Y1, Y2, Y4 and Y5 were significantly (P

Suggested Citation

  • Quanzhen Wang & Tiejun Zhang & Jian Cui & Xianguo Wang & He Zhou & Jianguo Han & René Gislum, 2011. "Path and Ridge Regression Analysis of Seed Yield and Seed Yield Components of Russian Wildrye (Psathyrostachys juncea Nevski) under Field Conditions," PLOS ONE, Public Library of Science, vol. 6(4), pages 1-10, April.
    • Handle: RePEc:plo:pone00:0018245
    DOI: 10.1371/journal.pone.0018245
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    Cited by:

    1. Chengming Ou & Mingya Wang & Longyu Hou & Yangyang Zhang & Ming Sun & Shoujiang Sun & Shangang Jia & Peisheng Mao, 2021. "Responses of Seed Yield Components to the Field Practices for Regulating Seed Yield of Smooth Bromegrass ( Bromus inermis Leyss.)," Agriculture, MDPI, vol. 11(10), pages 1-11, September.

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