Research On Yield Model Of Super-high Yield Wheat

Ultra-high-yield wheat breeding process, a problem of concern is to choose what kind ofbreed type. Because different types of varieties, species adaptability, stability, choice ofindicators, such as cultivation patterns are quite different. During the study of crop ecology,crop physiology, commonly used chlorophyll meter, canopy temperature measuringinstrument, measuring instrument, such as crop photosynthetic physiological indicators ofecological determination, the existing studies have shown that the relationship between thephysiological aging process of the formation of these traits and yield are often close, thenselect whether they can be used as indicators of the field, is also of concern. Therefore, theyield of different types of species formation model, refining the new generations choiceavailable indicators can improve the theoretical understanding of the wheat yield formation toprovide a theoretical and practical reference tool for the wheat breeding operation hasimportant theoretical and practical value.The paper selected45wheat varieties with higher yield potential or advanced lines as thetest material, the use of the grouping repeated randomized block set, measure the grainnumber, panicles, grain weight and other indicators of yield components, and determinephysiological indexes and yield data close to the shape of the photosynthetic rate, stomatalconductance, transpiration rate, chlorophyll content, canopy temperature, light and effectiveradiation ecology, using path analysis method and canonical correlation analysis to study theultra-high-yield wheat yield component model, the following results:1.Dynamic clustering analysis45test species into three categories: the first category Ⅰclass multi-spike, more effective panicles (5.64million/hm2), grain number less (33.65), thelarger grain weight (50.14g); second class of multi-spike type ⅱ class, more effectivepanicles (5,699,000/hm2), grain number higher (37.16), the smaller grain weight (43.05g);third category big Ear, panicles less (4,197,000/hm2), the number of multi-grain (49.20), thelarger grain weight (41.76g).2.Panicles, grains per spike, grain weight as the yield components have a directinfluence on the yield. Pass through the analysis showed that the multi-spike varieties, directpath coefficients grain number> panicles> grain weight (Ⅰ class multi-spike grain number 0.9558,0.8558panicles, grain weight0.5537; multiple ear ear Class Ⅱ grains0.7382,0.6587panicle, grain weight0.4308); in large panicle, the direct path coefficients grainweight (0.6037)> grain number (0.4269)> panicles (0.4178). Multiple ear varieties, grainweight is output through a bottleneck in large panicles spike variety is yield to break thebottleneck.3Canonical correlation analysis showed that the presence of eco-physiological traits forbreeding select target traits influence, the first group of typical variable correlation coefficientof0.5956, a second set of canonical variables correlation coefficient0.4973, a highcorrelation between them. Which traits such as stomatal conductance and chlorophyll contenttraits are present impact on breeding goal traits. Choose eco-physiological traits can beselected as a breeding goal traits reference index.