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Joint International Conference on Long-term Experiments ...

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mean (fixed, i.e. systematic effect) and the variance (random element) are the two main<br />

parameters describing the resp<strong>on</strong>se pattern of a cropping system. Variati<strong>on</strong>s in the<br />

measurements or in the treatment differences across years are simultaneously due to<br />

both the fixed and the random effects, and the two sets are often inseparable from each<br />

other.<br />

The improvement in maize producti<strong>on</strong> realized in the fields is the result of the<br />

combined effects of genetic, ecophysiological and technological changes superimposed<br />

<strong>on</strong> short- and l<strong>on</strong>g-<strong>term</strong> climatological variati<strong>on</strong>s. The simple partiti<strong>on</strong>ing of yield<br />

improvement into a genetic and an agr<strong>on</strong>omic comp<strong>on</strong>ent assumes the lack of<br />

interacti<strong>on</strong> between the two comp<strong>on</strong>ents. Although the increase has been the result of<br />

both genetic and agr<strong>on</strong>omic-management improvements, most of this improvement is<br />

the result of the genotype x management interacti<strong>on</strong> (Tollenaar and Lee 2002).<br />

The effect of major crop producti<strong>on</strong> factors has been investigated in l<strong>on</strong>g-<strong>term</strong><br />

experiments in Mart<strong>on</strong>vásár since 1960 (Győrffy 1969, Berzsenyi and Győrffy 1995).<br />

The aim of the present work was to carry out a biometric analysis <strong>on</strong> the 42-year data<br />

series from the experiments in order to de<strong>term</strong>ine how the minimum and optimum<br />

levels of five producti<strong>on</strong> factors (tillage, fertilisati<strong>on</strong>, plant density, variety, weed<br />

c<strong>on</strong>trol) influenced the yield of maize, and to use the single-variable and multi-variable<br />

methods of stability analysis to de<strong>term</strong>ine the stability of these producti<strong>on</strong> factors in<br />

diverse envir<strong>on</strong>ments.<br />

MATERIAL AND METHODS<br />

The effect of five crop producti<strong>on</strong> factors <strong>on</strong> maize yields has been investigated since<br />

1960 in a l<strong>on</strong>g-<strong>term</strong> experiment set up <strong>on</strong> medium heavy loam soil. Each factor is<br />

represented by two treatments, <strong>on</strong>e minimum and <strong>on</strong>e optimum. The treatments applied<br />

for each factor were as follows:<br />

Factor Minimum level Optimum level<br />

Tillage * Shallow ploughing Deep ploughing<br />

to a depth of 12–14 cm to a depth of 24–28 cm<br />

Fertilisati<strong>on</strong> ** No fertilisati<strong>on</strong> 60 t ha –1 farmyard manure<br />

every 4 years;<br />

N140P60K60 annually<br />

Plant density ‡ 35,000 plants ha –1 70,000 plants ha –1<br />

Variety Open-pollinated: Hybrid<br />

Aranyözön and<br />

Mindszentpusztai Sárga<br />

Weed c<strong>on</strong>trol Poor: late thinning and Good: complete freedom<br />

two delayed hoeings from weeds; timely<br />

thinning<br />

* From 1985 <strong>on</strong>wards the optimum level was deep loosening every four years<br />

** From 1980 <strong>on</strong>wards the fertiliser rate was doubled<br />

‡ Until 1980 the minimum plant density was 20,000 plants ha –1 and the optimum 40,000<br />

Seven treatment combinati<strong>on</strong>s were used in the experiment. In Treatment 1 all the<br />

factors were at the minimum level and in Treatment 2 all were optimum. In Treatments<br />

3–5 <strong>on</strong>e of the crop producti<strong>on</strong> factors was at a minimum, while all the others were<br />

21

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