幼儿
发表于 2025-3-28 16:08:03
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音乐会
发表于 2025-3-28 18:55:57
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歹徒
发表于 2025-3-29 01:49:36
Delivering Climate Forecast Products to Farmers: , Assessment of Impacts of Climate Information onthe national yellow corn yield average of 3.03 t ha.. Most of the corn type being produced in the province is yellow corn which comprised 95% of the total corn produced in the province (.). Yellow corn is primarily used as animal feed ingredient especially for poultry and swine.
CAPE
发表于 2025-3-29 06:24:50
Application of Seasonal Climate Forecasts for Sustainable Agricultural Production in Telangana Subdion. In this context, it is worthwhile to explore and apply climate forecasts for strategic decision-making in agriculture and related areas, especially in the semi-arid regions, which are characterized by high interannual variability in rainfall and consequent uncertainty in water availability for rainfed farming operations.
矛盾
发表于 2025-3-29 07:32:15
d identifies the challenges to be addressed in the next 5 to.Improved adaptation of food production, particularly in areas where climate variability is large, holds the key to improving food security for human populations. Increasing climate knowledge and improved prediction capabilities facilitate
Mast-Cell
发表于 2025-3-29 11:34:52
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无政府主义者
发表于 2025-3-29 18:19:39
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LAST
发表于 2025-3-29 22:04:11
Anne Morel,Anne Blangy,Virginie Vivesetative cover and water supplies. Drought triggers the exploitation of diminishing resources in order to survive (.). Climate change caused by global warming is likely to increase the frequency of climatic extremes in the future and result in changes in cropping practices and patterns over time and space.
ULCER
发表于 2025-3-30 00:50:06
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thrombus
发表于 2025-3-30 04:15:21
Climate Prediction and Agriculture: Summary and the Way Forward,property and life, mass migration, and negative national economic growth. Hence agricultural communities around the world have always looked for ways and means to cope with the climate variability including the use of various traditional indicators to predict the seasonal climate behavior.