Household herdsman livestock-grassland configuration technology

Abstract

The invention relates to a household herdsman livestock-grassland configuration technology. The technology takes grazing capacity, digestible protein grazing capacity and metabolic energy grazing capacity of a seasonal pasture as a target function, the economic benefit and the ecological benefit are taken as the biggest target, according to the Liebig (Liebig) minimum factor law, in different seasons, the minimum grazing capacity of grassland is taken as a limit factor, and the maximum grazing capacity of the grassland is taken as theory grazing capacity of an adjustment scheme; according to the quantity of livestock grazed actually and the grassland utilization modes in different seasons, the quantity of livestock of a herdsman is suitably increased and reduced, a plurality of sets of parameters are set from natural grazing to the balance between forage and livestock in the mode of combining drylot feeding with grazing, each set of parameters are combined with the target function to form a scheme, a scheme set is composed of a plurality of schemes, the optimum solution set is obtained through calculation, and the scheme which is most beneficial for regional development is selected. The technology plays a positive role in adjusting steppe ecology and provides necessary support for the development of animal husbandry.

Description

technical field [0001] The invention belongs to the field of agriculture, and in particular relates to a livestock-grassland configuration technology for family herdsmen. Background technique [0002] Grassland animal husbandry occupies an important position in our country. It is a pillar industry in grassland areas and plays a vital role in driving the economic development of this area. In recent years, the actual carrying capacity of grasslands in many areas has been far higher than the theoretical carrying capacity, which will cause damage or degradation of grasslands to a large extent. In addition, the irrational use of grassland due to the unbalanced season of grassland and livestock is the main cause of grassland degradation. If we don't consider the seasonal changes and simply determine the stocking capacity based on the total forage production, it will not be able to effectively solve the problem of seasonal over-grazing overgrazing that is common in grassland areas...

AI Technical Summary

Problems solved by technology

[0005] The existing grassland allocation technology mainly focuses on the "grass-based livestock" quota grazing management model, the grass-stock energy balance model, and the research on the optimal allocation of grassland plant communities. The method is rough and cannot truly reflect the theoretical stock carrying capacity of alpine grassland

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