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Acta Agron Sin ›› 2007, Vol. 33 ›› Issue (10): 1674-1681.

• ORIGINAL PAPERS • Previous Articles     Next Articles

“Three Combination Structure” Quantitative Expression and High Yield Analysis in Crops

ZHANG Bin1, ZHAO Ming 2,* , DONG Zhi-Qiang2, CHEN Chuan-Yong1, SUN Rui1   

  1. 1 College of Agronomy and Biotechnology, China Agricultural University, Beijing 100094, 2 Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China
  • Received:2007-02-12 Revised:1900-01-01 Online:2007-10-12 Published:2007-10-12
  • Contact: ZHAO Ming

Abstract:

With the increase of crop yield, topping the highest yield becomes more difficult. Higher productivity requires better crop performance, which accordingly requires precise crop husbandry. However, there are still large gaps in understanding crop performance and their relevant physiological factors and furthermore the effective manipulation measures. As a consequence of which, quantified crop yield analysis is badly needed. On the basis of the secondary structure of “three combination structure” crop yield analysis model, which is the organic integration of photosynthetic property, source sink and yield component theory, the concept of “three combination structure quantitative expression” was put forward, and the parameters were calculated by means of field experiments and simulation method. With that the quantitative expressions of spring maize (Zea mays L.), summer maize, rice (Oryza sativa L.) and winter wheat (Triticum aestivum L.) were founded, respectively. And the causations for high yield and the restrictive factors for higher yield were analyzed. Improving average net assimilation rate (MNAR) would improve rice yield, and properly increasing average leaf area index (MLAI) or harvest index (HI) was the possible way for higher winter wheat yield. The mutative trends of each equation parameter were analyzed for different spring maize populations, the results showed that improving total grain number per unit land area (TGN) via increasing MCGR would result in higher maize yield. The definite function expressions between the parameters were also established. With the definite relationships between the parameters, one parameter can be expressed with other relevant parameter(s). The foundation of the “three combination structure” quantitative expression provided a new idea and new method for the quantitative analysis of crop production. With that one could understand yield formation processes systematically and make a good judgment on the critical factors for limiting higher yield and explore corresponding possible ways to settle them accordingly. So “three combination structure” quantitative expression might be a good guidance for higher crop production.

Key words: Crop, Yield analysis, Quantitative expression

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