Genomic and transcriptomic approaches towards the genetic improvement of an underutilised crops: The case of Bambara groundnut

Khan, Faraz; Azman, Roslan Hairul; Chai, Hui Hui; Mayes, Sean; Lu, Changming

doi:10.4314/acsj.v24i4.9

Cited by 15 publications

(16 citation statements)

References 64 publications

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“…The hard-to-cook phenomenon, which is linked to poor processing methods, is the most significant explanation for Bambara groundnut's continued underutilization [86]. Bambara groundnut being hard to cook was noted by Khan et al [87], requiring an extended cooking time (3-4 h) to obtain proper melting during preparation food. The stiffness of the Bambara nut coat makes it relatively tough to achieve good dehusking.…”

Section: Imentioning

confidence: 99%

“…[42]. Bambara groundnut is an underutilized crop due to the lack of mechanization related to seed sowing, harvesting, and different post-harvest operations, such as its drying, de-husking, hard-to-cook (HTC), and hard-to-mill (HTM) properties [87]. Relatively low yields of this crop cause it to be underutilized, e.g., in West Africa, the recorded yield is 1716 kg ha −1 , which is higher than the estimated yield of 703.3 kg/ha from an area of 158,635 hectares [43], while the groundnut (Arachis hypogaea L.) migrated from South America has an estimated yield of 1.058 ton/ha from an average cultivated area of 62.07 lakh hectare.…”

Section: Imentioning

confidence: 99%

“…These two claims together establish strong proof of two distinct gene pools of Bambara groundnut. Genetic tools for agronomic characteristics can be enhanced and fully overcome by an improvement in genetic resources by using molecular markers, which leads to marker-assisted selection, quality inspection, and genome-enabled crop enhancement for global climate change [87,116]. Genomic association maps including Microsatellite markers, SNP markers, and DArT markers are used in genomic interaction maps to divide Bambara groundnut into domesticated and wild types [10,97,108,109].…”

Section: Specific Molecular "Toolbox" Used For Bambara Groundnut Improvementmentioning

confidence: 99%

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Bambara Groundnut (Vigna subterranea L. Verdc): A Crop for the New Millennium, Its Genetic Diversity, and Improvements to Mitigate Future Food and Nutritional Challenges

et al. 2021

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The world’s food and agricultural schemes have gradually fallen into an alarming state due to challenges such as high population birth rates, diverse agro-climatic zones, a lack of measures to counter global warming, severe practices of sole-culture cultivation, and asset reduction. A very high dependency on limited staple food crops is associated with repetitious diets, deprivation of food, and shortages of trace minerals, which often causes dietary sicknesses. To ensure nutritious diets worldwide, a real-world and justifiable scheme is provided to garner extra attention towards variation in both agriculture/farming approaches and food habits. The EAT-Lancet statement emphasized an increase in agri-based diets as a way of attaining global generational health. Enlarging neglected crops with plenty of genomic stocks and potentially profitable attributes is a solution that could address food and nutritional security concerns. Bambara groundnut is one such imperative and neglected legume crop that contributes positively to improving global food and nutrient safety. As a “complete food”, this crop has recently been treated as a new millennium crop, and furthermore, it is more adjusted to poor soil and climatic conditions than other dominant crops. Bambara groundnut is a repository of vital nutrients that provides carbohydrates, crucial amino acids, proteins, and energy as well as minerals and vitamins to developed and low-income countries where animal proteins are not readily available. This review explores the potential of Bambara groundnut in ensuring food and nutrient security; its variables, production, processing, nutrient values, role in reducing the nutritional gap, and diverse uses; and attempts in improving its traits. To strengthen food production, an agricultural revolution is required for underutilized crop species to feed the ever-expanding population in the world. Henceforth, advanced plant-breeding procedures, such as next-generation breeding techniques, various molecular tools, TILLING, Eco-TILLING, proteomics, genomics, and transcriptomics (which has been used for major crops), also need to be practiced to intensify production. To boost productivity and to feed the most starved and malnourished populations of the world, it is assumed that the application of modern techniques will play a vital role in the advancement of the underutilized Bambara groundnut.

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Section: Imentioning

confidence: 99%

Section: Imentioning

confidence: 99%

Section: Specific Molecular "Toolbox" Used For Bambara Groundnut Improvementmentioning

confidence: 99%

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Bambara Groundnut (Vigna subterranea L. Verdc): A Crop for the New Millennium, Its Genetic Diversity, and Improvements to Mitigate Future Food and Nutritional Challenges

et al. 2021

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“…Bambara groundnut, or the scientific name Vigna subterranea (L) Verdc. is originally planted in the African continent and has been cultivated in tropical Africa for centuries [1]. It has been planted in Malaysia due to similar weather condition but one of the challenges planting it here is that it can easily be infected with leaf diseases after heavy rains [1].…”

Section: Introductionmentioning

confidence: 99%

“…is originally planted in the African continent and has been cultivated in tropical Africa for centuries [1]. It has been planted in Malaysia due to similar weather condition but one of the challenges planting it here is that it can easily be infected with leaf diseases after heavy rains [1]. In order to minimize the leaf disease that induced damage during the growth of bambara groundnut, harvest and post-harvest processing, as well as maximize productivity and ensure agricultural sustainability, automatic leaf disease recognition is highly important [2].…”

Section: Introductionmentioning

confidence: 99%

Convolutional neural network vs bag of features for bambara groundnut leaf disease recognition

Hamzah

Sabri

İbrahim

et al. 2019

IJEECS

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This paper investigates bambara groundnut leaf disease recognition using two popular techniques known as Convolutional Neural Network (CNN) and Bag of Features (BOF) with Speeded-up Robust Feature (SURF) and Support Vector Machine (SVM) classifier. Leaf disease recognition has attracted many researchers because the outcome is useful for farmers. One of the crops that provide high income for farmers is bambara groundnut but the leaves are easily infected with diseases especially after the rain. This could affect the crop productivity. Thus, automatic disease recognition is crucial. A new dataset that consists of 400 images of the infected and non-infected leaves of bambara groundnut has been constructed. The experimental results indicate that both of these techniques produce excellent leaf disease recognition accuracy.

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Underutilised and Neglected Crops: Next Generation Sequencing Approaches for Crop Improvement and Better Food Security

Filippis

2018

Global Perspectives on Underutilized Crops

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Genomic and transcriptomic approaches towards the genetic improvement of an underutilised crops: The case of Bambara groundnut

Cited by 15 publications

References 64 publications

Bambara Groundnut (Vigna subterranea L. Verdc): A Crop for the New Millennium, Its Genetic Diversity, and Improvements to Mitigate Future Food and Nutritional Challenges

Bambara Groundnut (Vigna subterranea L. Verdc): A Crop for the New Millennium, Its Genetic Diversity, and Improvements to Mitigate Future Food and Nutritional Challenges

Convolutional neural network vs bag of features for bambara groundnut leaf disease recognition

Underutilised and Neglected Crops: Next Generation Sequencing Approaches for Crop Improvement and Better Food Security

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