Assessment of the potential of rainwater harvesting for maize production in the Lubombo plateau

Sacolo, Sanele; Mkhandi, S.

doi:10.1016/j.pce.2020.102935

Cited by 5 publications

(2 citation statements)

References 7 publications

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“…Adaptation of scientific and indigenous knowledge has high impact toward improved yields [36]. Moreover, adoption of local viable technologies that support improved soil productivity [40], [41], [21] by increasing the depth, fertility, soil water content and physical properties of the upper soil layer [42]. Adoption and application of agrometeorological knowledge and its principles contribute to sustainable agricultural production systems that are dependable [5], [43].…”

Section: Introductionmentioning

confidence: 99%

Evaluating the Effect of Climate Variability on Zea Mays Productivity over Glen Research Station: South Africa

Zuma-Netshiukhwi

Hlazo²,

Motholo³

2021

EJFOOD

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Rainfall and temperature are one of the key environmental parameters that determines the development of a crop and livestock from one growing stage to maturity. Furthermore, temperature is critical beyond maturity but to post harvesting and storage. Rainfall is fundamental in the selection of planting dates, cultivar selection and planting density. Whereas, temperature is essential for calculation of chill and heat units for determining conducive environmental conditions for crop productivity and livestock well-being. In this study, Instat Plus statistical package is utilized to determine potential planting dates, the growing seasons, maize (Zea Mays) for different planting dates from last dekad of October to 1st dekad of January. The growing period length vary from short (less than 100), medium (above 100 days) and long term (above 120 days) varieties. The correct choice of planting time and crop type in the most important decision a farmer or a researcher can make. Taking considerations of water productivity and thermal time requirement for a selected cultivar lessons the effects of high frost risks and water shortages, which leads to soil water deficit and crop wilting but encourage supporting maize growth and development. The study also looks at how heat stress jeopardizes the growth in crops, and further determine crop suitability whether to be early or late in season based on thermal times. A thorough analysis and interpretation of log-term climate data would enable the intermediaries to understand valuable knowledge for improved productivity. This paper analysed a long-term climate (1922-2020) data analysis for Glen automatic weather station, to determine climate variability and climate change possibilities, calculate heat unit and chill units. Further, develop suitable adaptation strategies relating to maize crop.

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Section: Introductionmentioning

confidence: 99%

Evaluating the Effect of Climate Variability on Zea Mays Productivity over Glen Research Station: South Africa

Zuma-Netshiukhwi

Hlazo²,

Motholo³

2021

EJFOOD

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“…The southern Africa summer rainfall is influenced by the ENSO, which indicate, dryer than normal during El Niño and wetter than normal conditions during La Niña events [25], [26]. Climate variability has been characterised by weather extremes, which are predominantly responsible for low yields, disease manifestation and insect outbreak [27]. Some studies note that little is documented about where and how crops could adapt to both increasing climate variability and change, and which impacts will distress their cultivation [28], [29].…”

Section: Introductionmentioning

confidence: 99%

Analysis of Rainfall and Temperature Changes and Variability over Glen Farm, South Africa

Zuma-Netshiukhwi

2021

AJAAR

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In the agricultural domain, decision-making is greatly guided by agricultural meteorology, which is the science that applies knowledge of weather and climate to qualitative and quantitative improvement in agricultural efficiency. The study area is challenged with increasing multifaceted agricultural production risks and complex agricultural ecosystems, which require analysis and understanding of local rainfall and temperature patterns. Digital technologies, such as the automatic weather station, play a pivotal role to monitor the physical environment, successively. This study engaged on a thorough analysis and interpretation of long-term rainfall and temperature data. The results would enable farmers and other users to comprehend valuable knowledge for improved productivity. The objectives of this paper were to analyse long-term climate data for Glen automatic weather station. To determine decadal climate patterns and trends, determine seasonal shifts, climate variability and climate change and quantify the frequency of the occurrence of weather extremes and develop suitable adaptation strategies relating to agronomic, phenological and physiological data necessary for crop modelling, operational evaluation and statistical analysis. The applied methods entailed Microsoft Excel and INSTAT Plus statistical software, which used to detect the interactions of environmental factors and suitable agricultural productivity. Understanding of rainfall and temperature patterns is required for agricultural management decisions, on planting date selection, crop suitability, livestock adaptation, ecosystem conservation. Agro meteorological knowledge derived from meteorological parameters, temperature, rainfall, wind and weather extremes, and may enhance agricultural productivity. Analysis of long-term and decadal trends in the time series indorse a sequence of alternately increasing and decreasing in mean annual rainfall and air temperature in Glen Farm.

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Identifying rainwater harvesting structure sites using MCDM-based GIS approach: a mitigation measure for drought in sub-humid red and lateritic zones of West Bengal, India

2022

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Assessment of the potential of rainwater harvesting for maize production in the Lubombo plateau

Cited by 5 publications

References 7 publications

Evaluating the Effect of Climate Variability on Zea Mays Productivity over Glen Research Station: South Africa

Evaluating the Effect of Climate Variability on Zea Mays Productivity over Glen Research Station: South Africa

Analysis of Rainfall and Temperature Changes and Variability over Glen Farm, South Africa

Identifying rainwater harvesting structure sites using MCDM-based GIS approach: a mitigation measure for drought in sub-humid red and lateritic zones of West Bengal, India

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