Download Crop-soil simulation models: applications in developing by Robin B Matthews, William Stephens PDF

By Robin B Matthews, William Stephens

This booklet, in keeping with paintings backed through the normal assets structures Programme of the united kingdom division for foreign improvement, studies development in crop-soil simulation modelling and assesses its program to agriculture in constructing nations. The books is split into sections in keeping with a class of versions with diversified capabilities: these used as instruments by way of researchers; these used as instruments by way of decision-makers; and people utilized in schooling, education and know-how move. The examples used are frequently from functions of crop versions in constructing international locations, supplemented by means of stories with tropical vegetation in Australia. the ultimate sections of the publication speak about no matter if crop types have proved invaluable and view the best way ahead in crop modelling and alertness. to be had In Print

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1982), cancelling out any improvement. Models are not usually able to predict these negative correlations in advance, although Boote and Tollenaar (1994) considered possible compensation between traits such as photosynthesis rate and specific leaf weight, and concluded that there was little potential for selecting for higher photosynthetic rates. Nevertheless, even as recently as 1991, Rasmusson (1991) argued that ideotype design for a particular environment was a useful exercise for a plant breeder, as it helped to focus his/her attention on what was or was not known about the environment, what particular characteristics it was practical to select for, and promoted goal setting for particular traits.

1993), for example, used the SOYGRO model to explore the influence of temperature on oil and protein content in soybean. g. , 1993) should make it easier to assess the effects of pest damage on crops, although further development is obviously needed to take into account complex mechanisms of disease resistance such as increased lignification, or changes in tissue N content. While crop models have the potential to make an important contribution to the crop improvement process, Hammer et al. (1996a) warn that there are many issues faced by plant breeders where modelling may be of limited value.

1996, 1997) used the ORYZA1 model for investigating effects on grain yield of various traits such as developmental rates during juvenile and grain-filling periods, leaf area growth, leaf N content, shoot/root ratio, leaf/stem ratio, and 1000-grain weight. Because of the lack of feed-backs built into this model, however, changing any one of these parameters generally changed yields in the expected way, with the exception of the phenological parameters, which interacted with year-to-year variability in weather.

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