Analysis of Nutritional Quality Attributes and Their Inter-Relationship in Maize Inbred Lines for Sustainable Livelihood

Langyan, Sapna; Dar, Z. A.; Chaudhary, Dharam Paul; Shekhar, J.; Herlambang, Susila; Enshasy, Hesham El; Sayyed, R. Z.; Rakshit, Sujay

doi:10.3390/su13116137

Cited by 16 publications

(11 citation statements)

References 19 publications

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“…Cluster VI is characterized of 12.92% of protein and test weight of 16.0 g. The protein content in lines decreased dramatically as the test weight of kernels increased. Therefore Selection of greater protein-containing lines without lowering test weight, as well as lines with higher values for both features, are given priority in breeding programmes there is a negative correlation between protein content and seed size (Saxena et al 1984), but in maize, a similar trend is observed in the current study, correlating with the results of Langyan et al (2021). Kernels of teosinte are very small but have higher protein content.…”

Section: Discussionsupporting

confidence: 83%

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Augmenting protein biofortification in maize using teosinte (Zea mays ssp. parviglumis)

Varalakshmi

Singh

Senthilkumar

2022

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Maize underwent domestication from the wild species Teosinte (Zea mays ssp. parviglumis) in the Balsas River valley of Mexico. While domestication and selective breeding of maize lost major alleles for kernel size and composition, Teosintes have a huge repository of novel and diverse alleles for protein content; have doubled protein content and higher levels of methionine-rich zeins than cultivated maize. To address the issue of protein in maize, we developed and investigated BC1F2:3 population derived from crossing between maize inbred line CML-451 and teosinte (Zea mays ssp. parviglumis). The data on ear traits and protein content were recorded on 126 BC1F2:3 individual cobs and parental lines. The protein content of among the BC1F2:3 lines had highly significant variation which varied from 9.53 % to 16.49 % for MP51 and MP6 lines, respectively. The results stipulated that protein content of teosinte introgressed maize lines is improved by 41.42% over CML-451. The introgressed population also exhibited significant variation for all ear traits investigated. Principal component analysis and cluster analysis have applied for estimation of genetic diversity among introgressed lines. Proteins content, ear length (cm), ear width (cm), kernel rows/ear and test weight (g) are all significant contributors to maximum diversity among teosinte introgressed maize lines. Cluster analysis highlighted the diversity among lines based on protein content and test weight and grouped them into six clusters. Cluster II lines were characterized by higher protein content and test weight values and were considered for wider use in breeding programmes. The results of the investigation highlight the substantial increase in the protein content of the teosinte derived maize lines and therefore indicates critical role of Zea mays ssp. parviglumis in protein biofortification of maize kernels.

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Section: Discussionsupporting

confidence: 83%

“…Partially similar results were observed by Jio et al (2021), who reported a negative correlation between protein quality and kernel and yield traits. Additionally, protein content has a non-signi cant negative relationship with the test weight, validating the work ofLangyan et al (2021). In pulses,…”

supporting

confidence: 60%

Augmenting protein biofortification in maize using teosinte (Zea mays ssp. parviglumis)

Varalakshmi

Singh

Senthilkumar

2022

Preprint

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“…The multivariate analysis, particularly PCA and HCA, are used to reduce the dimensions, identify traits that have maximum contribution in variability, and understand the relationships between germplasm lines ( 50 , 51 ). Several workers have reported PC1 has 1.3-fold higher Eigen values than that of PC2, which is commensurate with our findings of Eigen values of 3.232 (PC1) and 2.458 (PC2) ( 51 – 53 ).…”

Section: Discussionmentioning

confidence: 99%

Nutritional Diversity in Native Germplasm of Maize Collected From Three Different Fragile Ecosystems of India

et al. 2022

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Native germplasm resources are adapted to specific ecological niches. They have sustained over generations owing to the preference of local communities for their unique taste, the utility to particular dishes, and the low cost of cultivation. They may help eradicate malnutrition and act as a source for trait-linked genes. The present dataset comprises thirty-three native germplasm of maize collected from Rajasthan, Himachal Pradesh, and Andhra Pradesh states of India with an altitudinal variation of 386–2,028 m. They were evaluated for proximate composition, minerals, nutritional attributes, and antioxidant activity and compared with the standard values reported in the Indian Food Composition Table 2017 (IFCT2017). The nutritional profile showed moisture content in the range of 7.16–10.9%, ash 0.73–1.93%, crude protein 8.68–12.0%, crude fat 3.72–8.03%, dietary fiber 5.21–11.2%, and available carbohydrates 60.6–69.8%. Three accessions, namely, Malan 11 (7.06%), Malan 24 (7.20%), and Yellow Chamba Local 02 (8.03%) exhibited almost double the crude fat content as compared with the values notified in IFCT2017 (3.77). Total sugar content obtained was in the range of 5.00–11.3%, whereas the starch content was found between 50.9 and 64.9%. All the germplasm except Yellow Chamba Local reflected a higher protein content than reported values in IFCT2017 (8.80). Sathi, Safed Chamba Local, and Ragal Makka had nearly 12% protein content. Mineral malnutrition, mainly due to iron (Fe) deficiency, is a worldwide issue to science, humanity, and society. The mineral profile revealed that most germplasm had a higher iron content. Accessions with the iron content of nearly three times of IFCT2017 reported value were identified in germplasm belonging to three states. A negative relationship was observed between the altitude of the sample collection site and available carbohydrate content. In contrast, available carbohydrate showed inverse correlations with dietary fiber, protein, and fat content. The information generated in this study can be utilized to promote these germplasm as nutrifood, nutritional surveillance, labeling, and crop improvement programs.

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“…The quality of protein and its type is important to determine its overall health impact upon consumption ( 1 , 2 ). Protein provides energy, and it is also a vital component for other purposes, including enzyme activity and bio-chemicals passage in cellular membranes ( 3 , 4 ).…”

Section: Introductionmentioning

confidence: 99%

A Quick Analysis Method for Protein Quantification in Oilseed Crops: A Comparison With Standard Protocol

et al. 2022

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Protein is one of the most abundant substances in plants and plays a major role in human health hence standardization of its analytical quantification method is essential. Various methods for protein quantification exist, such as Kjeldahl, Bradford, Lowry, bicinchoninic acid assay (BCA), Biuret, and total amino acid content methods. These methods are widely applied; however, the development of the rapid and efficient method is the need of the time hence the objective of this research was to analyze and comparing compare the modification of the Kjeldahl method for the determination of protein content in oilseed crops. The study was performed to improve the sample preparation method (processing and digestion) for protein quantification. Generally, the method initially requires homogenization of grains to a fine flour, which involves time and increases the risk of sample cross-contamination and partial loss of oil from the sample during grinding. Moreover at times, it becomes challenging to homogenize oil seeds to fine flour due to high oil content. However, in the present research, the whole grain was digested in place of grounded flour to accomplish quick protein quantification and compared it with the flour matrix of different oil seeds. To further reduce the digestion time and avoid frothing, we have used the modified digestion mixture. The developed method was statistically validated using analysis of variance (ANOVA), Pearson correlation reliability test, paired T-test, and different types of plot analysis. The validation of the sample preparation method in protein quantification demonstrated non-significant differences that the protein content from whole grain of all the five oilseed crops shows 100% non-significant results compared with the flour matrix in both the digestion mixtures. The developed novel method could be used to prepare the sample for protein analysis and reduces the overall analysis time while ensuring the accuracy of the results.

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Analysis of Nutritional Quality Attributes and Their Inter-Relationship in Maize Inbred Lines for Sustainable Livelihood

Cited by 16 publications

References 19 publications

Augmenting protein biofortification in maize using teosinte (Zea mays ssp. parviglumis)

Augmenting protein biofortification in maize using teosinte (Zea mays ssp. parviglumis)

Nutritional Diversity in Native Germplasm of Maize Collected From Three Different Fragile Ecosystems of India

A Quick Analysis Method for Protein Quantification in Oilseed Crops: A Comparison With Standard Protocol

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