Emerging Advanced Technologies to Mitigate the Impact of Climate Change in Africa

Ribeiro, Priscilla Francisco; Rodriguez, Anyela Valentina Camargo

doi:10.3390/plants9030381

Cited by 16 publications

(8 citation statements)

References 72 publications

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“…Recurrent drought could result in yield loss of as high as 90% when it occurs from a few days before anthesis to the end of the grain-filling period [10]. Current climate change-related projections present more grim implications for agriculture in Africa, including maize production [11]. Studies have revealed that genetic enhancement of maize for drought tolerance could result in genetic gains [12,13].…”

Section: Introductionmentioning

confidence: 99%

Enhancing Drought Tolerance and Striga hermonthica Resistance in Maize Using Newly Derived Inbred Lines from the Wild Maize Relative, Zea diploperennis

Shaibu

Badu‐Apraku²,

Ayo-Vaughan

2021

Agronomy

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Recurrent drought and Striga hermonthica (Del.) Benth parasitism constrains maize production in sub-Saharan Africa (SSA). Transfer of resistance genes from wild relatives can improve resistance to drought and Striga in tropical maize. The objectives of this study were to (i) determine the combining ability of 12 extra-early yellow maize inbreds derived from Zea diploperennis and tropical maize germplasm; (ii) classify the inbreds into heterotic groups using heterotic grouping based on the general combining ability (GCA) of multiple traits (HGCAMT) method; (iii) examine hybrid performance under contrasting environments; and (iv) examine the stability of hybrid combinations involving the inbreds. Sixty-six diallel crosses involving the inbreds plus four checks were evaluated for two years under drought, Striga-infested and rainfed environments in Nigeria. Significant differences (p < 0.05) were observed for the effects of genotype, environment, genotype × environment, GCA and specific combining ability (SCA) on grain yield and other measured traits. Inbred lines such as TZdEEI 7 × TZEEI 63 derived from Z. diploperennis and tropical germplasm exceeded the checks by a range of 28 to 41%. Across environments, the hybrid TZdEEI 1 × TZdEEI 7, which was derived from Z. diploperennis, was the highest-yielding with a grain yield of 4302 kg ha−1. The results revealed the predominance of GCA over SCA effects for most measured traits, suggesting that additive gene action governed the inheritance of Striga resistance and drought tolerance related traits in the inbreds. The 12 inbreds were classified into three heterotic groups, while TZEEI 79 and TZdEEI 7 were identified as inbred testers and TZdEEI 7 × TZEEI 12 as a single-cross tester across environments. Hybrid TZdEEI 9 × TZEEI 79 was the highest-yielding and most stable. Other promising hybrids were TZdEEI 7 × TZEEI 79, TZdEEI 1 × TZdEEI 7 and TZdEEI 12 × TZEEI 95. These hybrids should be extensively tested on-farm for potential commercialization in SSA. Overall, our results highlighted the importance of harnessing beneficial alleles from wild relatives of maize for improvement of resistance to Striga and tolerance to drought in adapted maize germplasm.

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Section: Introductionmentioning

confidence: 99%

Enhancing Drought Tolerance and Striga hermonthica Resistance in Maize Using Newly Derived Inbred Lines from the Wild Maize Relative, Zea diploperennis

Shaibu

Badu‐Apraku²,

Ayo-Vaughan

2021

Agronomy

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“…Finally, cluster analysis suggested that tailored information regarding CRISPR/Cas9 should be addressed. For example, to improve attitudes toward CRISPR/Cas9-modified rice among opponents, information regarding the positive impact on cultivation that CRISPR-Cas9 technology could generate (Ribeiro & Rodriguez, 2020) should be highlighted to reduce their perceived risk associated with gene technologies. Furthermore, policy intervention to increase knowledge dissemination regarding genetic modification techniques, with an emphasis on NBTs and gene editing, could positively affect farmers' attitudes toward CRISPR/Cas9-modified rice.…”

Section: Discussionmentioning

confidence: 99%

Farmers' attitude toward CRISPR/Cas9: The case of blast resistant rice

Ferrari

2021

Agribusiness

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New breeding techniques (NBTs) for genetically modified (GM) crops, such as CRISPR/Cas9, could represent a valuable solution for achieving a sustainable agricultural system. This study examines Italian farmers' attitudes toward CRISPR/ Cas9-modified blast-resistant rice in a hypothetical context. It is one of the first studies to investigate farmers' attitudes toward NBTs. Additionally, it explores the role of sociodemographics, farm characteristics, knowledge, perceived risks, and the locus of control (LOC) in shaping attitudes toward CRISPR/Cas9-modified rice. The results show that farmers are open to this innovation and will cultivate CRISPR/ Cas9-modified rice if it is available in the market. Moreover, we find subjective knowledge, practice experience, and low perceived risk in the agri-food business to be positively associated with attitudes toward CRISPR/Cas9-modified blastresistant rice. Notably, LOC is found to be inversely related to attitude, indicating that having an external LOC improves attitudes toward CRISPR/Cas9-modified rice. The findings suggest that farmers are generally favorable to the introduction of CRISPR/Cas9 technology; thus, a revision of the current

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“…Following the assessment of criteria importance, the experts constructed a grid, which is instrumental in determining the most appropriate strategy through the SF-WASPAS approach. In the initial phase, linguistic variables were translated into the SFN, employing the scale outlined in reference (Francisco Ribeiro & Camargo Rodriguez, 2020). Following this, expert opinions were combined using the SWAM operator to establish expert weights.…”

Section: Rank Of Strategiesmentioning

confidence: 99%

A Decision-Making Model for Prioritizing Low-Carbon Policies in Climate Change Mitigation

Qiu,

Bouraima,

Badi

et al. 2024

CIS

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Climate change (CC) represents a paramount environmental challenge, necessitating the deployment of sustainable, low-carbon strategies particularly in developing regions such as Africa. This study introduces a novel decision-making framework aimed at enhancing the prioritization of policies to combat the adverse effects of CC. The proposed two-stage model employs the integration of Step-Wise Weight Assessment Ratio Analysis (SWARA) and Weighted Aggregated Sum Product Assessment (WASPAS) under spherical fuzzy (SF) conditions to address the strategic sequencing of sustainable policies. Initially, SF-SWARA is utilized to ascertain the relative significance of diverse criteria. Subsequently, the SF-WASPAS method ranks these policies, facilitating informed decision-making. The primary obstacles identified include limited institutional capacity, insufficient financial resources, and technological constraints, for which strategic alternatives are proposed. Moreover, rigorous sensitivity and comparative analyses affirm the model's applicability. By systematically delineating and prioritizing necessary policies, this study contributes significantly to the scholarly discourse on climate mitigation (CM) in an African context.

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Emerging Advanced Technologies to Mitigate the Impact of Climate Change in Africa

Cited by 16 publications

References 72 publications

Enhancing Drought Tolerance and Striga hermonthica Resistance in Maize Using Newly Derived Inbred Lines from the Wild Maize Relative, Zea diploperennis

Enhancing Drought Tolerance and Striga hermonthica Resistance in Maize Using Newly Derived Inbred Lines from the Wild Maize Relative, Zea diploperennis

Farmers' attitude toward CRISPR/Cas9: The case of blast resistant rice

A Decision-Making Model for Prioritizing Low-Carbon Policies in Climate Change Mitigation

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