Water footprint inventory database of Thai rice farming for water policy decisions and water scarcity footprint label

Mungkung, Rattanawan; Gheewala, Shabbir H.; Silalertruksa, Thapat; Dangsiri, Sarocha

doi:10.1007/s11367-019-01648-0

Cited by 12 publications

(4 citation statements)

References 13 publications

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“…The path coefficient analysis was carried out at the level of genotypic correlation coefficients for the eleven studied traits to partition the correlation coefficient between each of the studied traits and the yield into its direct and indirect effects to determine the traits that most influence the grain yield and describe them as selectin on indices to improve the yield. This is illustrated in Table (3).…”

Section: Resultsmentioning

confidence: 94%

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Estimation of path coefficient analysis for some quantitative traits in Rice ( Oryza sativa L.) genotypes

Al-Musawi

Anbari

2022

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A field experiment was conducted at the Al Mushkab Rice Research Station (AMRR), Najaf, Iraq, during the rice growing season of 2018-2019 in Randomized Complete Block Design (RCBD) for the aim of estimating the path coefficient in 15 introduced and local genotypes of rice. The path coefficient was estimated for the number of days from planting to 50% flowering, the number of days from flowering to physiological maturity, plant height, leaf area index, number of branches/panicle, number of panicles / m2, number of grains/panicles, infertility percentage (sterility %), 1000 grains weight (gm), biological yield (kg. ha -1) and harvest index (HI %) with grain yield kg, ha. -1. The results of the study concluded that the trait of harvest index is an effective selection criterion for improving Rice grain yield because it achieved the highest overall positive effect, i.e., the highest positive genotypic correlation amounted to 0.761, and this trait also achieved a high direct positive effect on grain yield amounted to 0.83833. Keywords: Rice, Genotypes, Path Coefficient, Harvest Index

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Section: Resultsmentioning

confidence: 94%

“…China and India alone have 50% of the rice grown and consumed. Rice is critical for food security and gives up to 50% of the nutritional caloric supply for millions in Asia, Latin America, and Africa 2,3 . Nearly 90% of the world's rice crop is produced in Asian countries.…”

Section: Introductionmentioning

confidence: 99%

Estimation of path coefficient analysis for some quantitative traits in Rice ( Oryza sativa L.) genotypes

Al-Musawi

Anbari

2022

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“…Additionally, farmers do not always measure the level of water within the rice fields in order to prevent pathogens and grass from growing. When it comes to irrigated areas, the amount of water depends on the irrigation efficiency and the location of farms where irrigation is adequate or not (Mungkung et al, 2019). The value of the WF varies according to the way water resources are managed in a particular area.…”

Section: Trend Analysismentioning

confidence: 99%

“…Therefore, it is imperative that crop producers evaluate and manage water resources efficiently. As a result of the introduction of the WF concept and its mathematical models, agricultural producers now have a new tool for assessing water resource use and management (Li et al, 2018;Hoekstra, 2015;Yoo et al, 2014;Gheewala et al, 2018;Mungkung et al, 2019; A. . WF measures not only irrigation water consumption, but also precipitation consumption and pollution dilution water consumption, which differs from the traditional method of agricultural water accounting.…”

Section: Introductionmentioning

confidence: 99%

Water Footprint of Rice Production in Malaysia: A Review of Evapotranspiration and Factors of Climate Change for Rice and Food Security in Malaysia

Rusli

Noor²,

Taib³

et al. 2022

Mal. J. Fund. Appl. Sci.

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Rice is a special crop that requires a thin layer of water to produce, and is produced differently from other crops. The rice sectors in Malaysia continue to be developed in a proactive and progressive manner. Due to its growth process, rice has a different water footprint (WF) compared to other crops. This study improved the calculation of the blue and green WF of rice production and examined the variations of these footprints under the primary granary area of Malaysia. The effects of climate change will, however, make it more difficult to achieve food security and increase rice yields in the future. Therefore, this paper aims to discuss climate change impacts on rice production and food security in Malaysia. Many countries worldwide are becoming increasingly vulnerable to natural disasters due to climate change. Many climate models predict a decline in agricultural productivity due to excessive heat in tropical and subtropical regions, especially in Southeast Asia. Malaysia is no exception. Therefore, the present study examined the impact of climate change on rice yields in Muda Granary, Malaysia. Utilizing literature reviews, we assessed the value of evapotranspiration (ET) in order to calculate the green WF for the area. Climate variables (such as ET), yield, and variance of impact during the main season and off-season were the primary objectives of the study. Precipitation did not show a statistically significant difference between the main and off-seasons from 2011-2015. During the main crop season, the maximum ET was negatively associated with yield, but the minimum ET showed a positive association. In the off-season, green WF levels were higher than those in the main season. These findings indicate that climate change poses a serious threat to rice production, which will in turn affect food security as they are highly interconnected. Thus, it is high time for Malaysia to revamp its paddy and rice intervention strategies by giving due attention to enhancing the adaptive capacity of rice farmers to cope with climate change.

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Investigating of the climatic parameters effectiveness rate on barley water requirement using the random forest algorithm, Bayesian multiple linear regression and cross-correlation function

Zarei

Mahmoudi

Shabani

2020

Paddy Water Environ

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Water footprint inventory database of Thai rice farming for water policy decisions and water scarcity footprint label

Cited by 12 publications

References 13 publications

Estimation of path coefficient analysis for some quantitative traits in Rice ( Oryza sativa L.) genotypes

Estimation of path coefficient analysis for some quantitative traits in Rice ( Oryza sativa L.) genotypes

Water Footprint of Rice Production in Malaysia: A Review of Evapotranspiration and Factors of Climate Change for Rice and Food Security in Malaysia

Investigating of the climatic parameters effectiveness rate on barley water requirement using the random forest algorithm, Bayesian multiple linear regression and cross-correlation function

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