Effects of weather on agricultural crops and livestock: an overview

Vining, Kevin C.

doi:10.1080/00207239008710581

Cited by 16 publications

(10 citation statements)

References 8 publications

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“…According to ( Peters & Peters, 1986 ), small animals cool and loss heat faster than large animals, and they are sensitive to climate change. In this scenario, weather plays a significant role in determining the thermoneutral zone (TNZ) of livestock, which determines livestock productivity since adverse weather condition can yield production loss ( Kerr, 2015 ; Valtorta, 2002 ; Vining, 1990 ).…”

Section: Resultsmentioning

confidence: 99%

Effects of climate variability on livestock productivity and pastoralists perception: The case of drought resilience in Southeastern Ethiopia

Habte

Eshetu

Maryo

et al. 2022

Veterinary and Animal Science

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Section: Resultsmentioning

confidence: 99%

Effects of climate variability on livestock productivity and pastoralists perception: The case of drought resilience in Southeastern Ethiopia

Habte

Eshetu

Maryo

et al. 2022

Veterinary and Animal Science

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“…The largest fraction was explained by climate variables, whereas the variation explained by soil variables was relatively constant for all agronomic traits. It is known that climate factors largely affect agronomic traits, with precipitation being one of the most important factors determining the final performance, albeit the combination of all-weather elements occurring simultaneously can have additive effects (i.e., Vining, 1990). Climate variables greatly determined the distribution of the environments, as observed in Figure 2.…”

Section: Discussionmentioning

confidence: 99%

Deciphering Main Climate and Edaphic Components Driving Oat Adaptation to Mediterranean Environments

et al. 2021

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Oat, Avena sativa, is an important crop traditionally grown in cool-temperate regions. However, its cultivated area in the Mediterranean rim steadily increased during the last 20 years due to its good adaptation to a wide range of soils. Nevertheless, under Mediterranean cultivation conditions, oats have to face high temperatures and drought episodes that reduce its yield as compared with northern regions. Therefore, oat crop needs to be improved for adaptation to Mediterranean environments. In this work, we investigated the influence of climatic and edaphic variables on a collection of 709 Mediterranean landraces and cultivars growing under Mediterranean conditions. We performed genotype–environment interaction analysis using heritability-adjusted genotype plus genotype–environment biplot analyses to determine the best performing accessions. Further, their local adaptation to different environmental variables and the partial contribution of climate and edaphic factors to the different agronomic traits was determined through canonical correspondence, redundancy analysis, and variation partitioning. Here, we show that northern bred elite cultivars were not among the best performing accessions in Mediterranean environments, with several landraces outyielding these. While all the best performing cultivars had early flowering, this was not the case for all the best performing landraces, which showed different patterns of adaption to Mediterranean agroclimatic conditions. Thus, higher yielding landraces showed adaptation to moderate to low levels of rain during pre- and post-flowering periods and moderate to high temperature and radiation during post-flowering period. This analysis also highlights landraces adapted to more extreme environmental conditions. The study allowed the selection of oat genotypes adapted to different climate and edaphic factors, reducing undesired effect of environmental variables on agronomic traits and highlights the usefulness of variation partitioning for selecting genotypes adapted to specific climate and edaphic conditions.

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“…Since every stage of agricultural activities depends on the weather conditions, the meterorology is essential for agricultural business. By monitoring the weather parameters (i.e., air temperature, relative humidity, barometric pressure, light intensity, rain, speed and direction of wind) in agricultural fields, the farmers can take precautions ahead of time, during all the stages of growth right from seedling to harvesting (Vining, 1990). Each type of crop requires a specific growing temperature.…”

Section: Introductionmentioning

confidence: 99%

A Conceptual Design of LoRa based Weather Monitoring System for Smart Farming

Soy¹,

Dilay²

2021

European Journal of Science and Technology

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Internet of Things (IoT) based smart farming applications opens up new opportunities for monitoring the agricultural fields. There are different communication protocols can be used in practice to connect the IoT-enabled devices. Among them, the low-power, wide area network (LPWAN) based protocols are well suited to the specific needs of agricultural applications due to their energy-efficient transmission of small data packets over long distances. This study presents the conceptual design of LoRa based weather monitoring system that can be used to warn the farmers about possible crop damages due to harsh weather conditions. The hardware design of a low-cost weather station has been explained in details. Also, the estimated coverage area of the application to be carried out in order to reduce the risk of apple flowering frost damage risk in Karaman Province, Turkey was evaluated using the Xirio Online radio planning tool. The obtained results have verified the feasibility of proposed weather monitoring system.

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Effects of weather on agricultural crops and livestock: an overview

Cited by 16 publications

References 8 publications

Effects of climate variability on livestock productivity and pastoralists perception: The case of drought resilience in Southeastern Ethiopia

Effects of climate variability on livestock productivity and pastoralists perception: The case of drought resilience in Southeastern Ethiopia

Deciphering Main Climate and Edaphic Components Driving Oat Adaptation to Mediterranean Environments

A Conceptual Design of LoRa based Weather Monitoring System for Smart Farming

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