Seed protein content of soybean as affected by spatial variation in field experiments

被引:7
作者
Vollmann, J
ElHadad, T
Gretzmacher, R
Ruckenbauer, P
机构
[1] University of Agriculture, Agronomy and Plant Breed. Department, A-1180 Vienna
关键词
glycine max; seed protein content; spatial variation; lattice design; neighbour analysis; ranking of genotypes;
D O I
10.1111/j.1439-0523.1996.tb00965.x
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
The Variation of soybean seed protein content has been investigated in performance trials of maturity group 000 to I genotypes at different locations in the eastern part of Austria between 1992 and 1994. In all experiments evaluated, significant portions of spatial Variation were identified which affected seed protein content in the range of -25 to + 30 g/kg. Lattice and neighbour analysis were more efficient than the randomized complete block design in reducing error variance in most experiments. Neighbour analysis was superior to the lattice design when soil trends were changing over short distances or in both longitudinal and latitudinal directions. In most instances, neighbour analysis based on two or three neighbouring plots at each side of a test plot was more efficient than an analysis using only the nearest neighbours. Residuals derived from neighbour analysis were also used to visualize spatial heterogeneity, and clear trends of protein content were identified for particular experimental sites. The ranking of genetic entries was considerably biased by spatial variations, which would have reduced the efficiency of selection for high protein content if genotype performance was not adjusted for field variation.
引用
收藏
页码:501 / 507
页数:7
相关论文
共 36 条
[1]  
BAHRENFUS JB, 1980, CROP SCI, V20, P673
[2]   SPATIAL HETEROGENEITY AFFECTS VARIETY TRIAL INTERPRETATION [J].
BALL, ST ;
MULLA, DJ ;
KONZAK, CF .
CROP SCIENCE, 1993, 33 (05) :931-935
[3]   ON THE IMPORTANCE OF SOIL HOMOGENEITY WHEN EVALUATING FIELD TRIALS [J].
BECHER, HH .
JOURNAL OF AGRONOMY AND CROP SCIENCE-ZEITSCHRIFT FUR ACKER UND PFLANZENBAU, 1995, 174 (01) :33-40
[4]   STATISTICAL-ANALYSIS OF FIELD EXPERIMENTS USING NEIGHBORING PLOTS [J].
BESAG, J ;
KEMPTON, R .
BIOMETRICS, 1986, 42 (02) :231-251
[5]   ESTIMATING SPATIAL VARIATION IN ANALYSIS OF DATA FROM YIELD TRIALS - A COMPARISON OF METHODS [J].
BROWNIE, C ;
BOWMAN, DT ;
BURTON, JW .
AGRONOMY JOURNAL, 1993, 85 (06) :1244-1253
[6]  
Cochran W.G. G.M. Cox., 1957, Experimental Design
[7]   EFFICIENCY OF NEIGHBOR ANALYSIS FOR REPLICATED VARIETY TRIALS IN AUSTRALIA [J].
CULLIS, BR ;
GLEESON, AC .
JOURNAL OF AGRICULTURAL SCIENCE, 1989, 113 :233-239
[8]  
DIBARI V, 1994, THIRD CONGRESS OF THE EUROPEAN SOCIETY FOR AGRONOMY, PROCEEDINGS, P476
[9]   ASSESSMENT OF SPATIALLY-VARIABLE NITROGEN-FERTILIZER MANAGEMENT IN WINTER-WHEAT [J].
FIEZ, TE ;
MILLER, BC ;
PAN, WL .
JOURNAL OF PRODUCTION AGRICULTURE, 1994, 7 (01) :86-93
[10]   WINTER-WHEAT YIELD AND GRAIN PROTEIN ACROSS VARIED LANDSCAPE POSITIONS [J].
FIEZ, TE ;
MILLER, BC ;
PAN, WL .
AGRONOMY JOURNAL, 1994, 86 (06) :1026-1032