Impact of Sorghum Supplementation on Growth and Micronutrient Status of School Going Children in Southern India - A Randomized Trial.

OBJECTIVES: To study the impact of sorghum diet on growth, and micronutrient status of school going children for a period of 8 mo. METHODS: Children (n = 160 boys and n = 160 girls) aged between 9 to 12 y were randomly allocated into two groups (n = 80 in the control and n = 80 in the experimental group) to receive 60% sorghum diet and 40% of rice diet (Exp G) and regular rice diet (100%; CG). Anthropometric indices and biochemical parameters were measured at baseline and at 8 mo using standardized methods. RESULTS: The growth rate was significantly higher (p < 0.01) in the Exp G of girls, whereas in boys it was in the CG. Hemoglobin (Hb), serum ferritin, albumin, retinol binding protein (RBP) and iron levels were significantly improved (p < 0.05) in the Exp G of both the genders and in boys, serum folic acid and calcium levels were also improved with sorghum diet. CONCLUSIONS: Serum micronutrient status, in terms of hemoglobin, serum folic acid, albumin, RBP, ferritin, calcium and iron can be improved with sorghum supplementation in school going children.

Development and standardization of sorghum pasta using extrusion technology.

Extrusion cooking is a unique method for preparing pasta, which is generally produced from durum wheat semolina. However, preparation of pasta from sorghum is not practiced in India. Therefore, the present study was undertaken to develop and standardize pasta from sorghum cultivar, M35-1 and wheat semolina of 0.1 mm particle size. Sorghum and wheat semolina in different proportions (T1;S:W-50:50,T2;S:W-60:40,T3;S:W-70:30,T4; S:W-80:20, T5; S -100) were mixed with lukewarm water (40 °C) in the cold extruder for 30 min and passed through the extruder with a screw speed of 80 rpm and at a temperature of 55° to obtain pasta of diameter (0.6 mm) and length (1.4 mm). The extruded pasta was dried at 70 °C in a tray drier for 8 h, cooled and stored in polyethylene bags at room temperature. The pasta was subjected to physico-chemical analysis such as length, diameter, bulk density, water absorption, cooking time, cooking loss, moisture, water activity, alcoholic acidity, amylase, carbohydrates, fat, protein, fibre and ash using standard methods. Organoleptic characteristics such as color and appearance, texture, taste, flavor and overall acceptability, stickiness, bulkiness and firmness were evaluated at laboratory level by a panel of semi trained judges using 5 point hedonic rating scale. Among the various blends studied, the sorghum and wheat semolina with a combination of 50:50 (T1) and 60:40 (T2) and 70:30 (T3) were more acceptable than others. Well acceptable sorghum pasta can be developed from sorghum and wheat, thereby improving its nutritional composition.

Inheritance and molecular mapping of Rf6 locus with pollen fertility restoration ability on A1 and A2 cytoplasms in sorghum.

Of the several male sterility cytoplasms available as an alternative to the widely exploited A1 (milo) cytoplasm in sorghum, A2 is more suitable for commercial exploitation. Diversification of genetic and cytoplasmic base of hybrids involving A2 cytoplasm necessitates mapping of fertility restorer (Rf) genes for use in marker-assisted restorer development. We mapped a major male fertility restoration locus on sorghum chromosome 4 tightly linked with SSR markers, SB2387 and SB2388. This new fertility locus, Rf6, was able to restore male fertility on both A1 and A2 cytoplasms. Analysis of the genomic region around the Rf6 locus identified six genes including a pentatricopeptide repeat (PPR) gene, Sobic.004G004100. With its similar restoration ability to Rf1, Rf2 and Rf5 loci in sorghum, it is most likely that the Rf6 is a member of the PPR gene family, and the PPR gene Sobic.004G004100 could be a candidate for fertility restoration on A1 and A2 cytoplasms.

Oxidative enzyme changes in sorghum infested by shoot fly.

This research investigated the role of oxidative enzymes in the defense response of sorghum, Sorghum bicolor (L.) Moench (Poales: Poaceae), to the sorghum shoot fly, Atherigona soccata Rondani (Diptera: Muscidae). Changes in polyphenol oxidase and peroxidase activity and total protein content were observed in resistant and susceptible sorghum genotypes in response to A. soccata feeding. Resistant plants exhibited higher levels of peroxidase and polyphenol oxidase activities and total protein content compared with susceptible plants. Peroxidase and polyphenol oxidase activities and total protein content in the infested resistant and susceptible genotypes were higher when compared with their control plants, respectively. These findings suggest that resistant genotypes may be able to tolerate shoot fly feeding by increasing their peroxidase and polyphenol oxidase activities. Among the enzymes examined, differences in isozyme profiles for peroxidase and polyphenol oxidase were detected between control and infested IS 18551, M35-1, 296B, SSV 84, and DJ 6514 plants. Differences in protein profiles were observed between A. soccata infested and their respective uninfested controls of all the genotypes. In conclusion, this study revealed that these defense enzymes and proteins might attribute to the resistance mechanisms in sorghum plants against A. soccata infestation.

Mapping QTL for grain yield and other agronomic traits in post-rainy sorghum [Sorghum bicolor (L.) Moench].

Sorghum, a cereal of economic importance ensures food and fodder security for millions of rural families in the semi-arid tropics. The objective of the present study was to identify and validate quantitative trait loci (QTL) for grain yield and other agronomic traits using replicated phenotypic data sets from three post-rainy dry sorghum crop seasons involving a mapping population with 245 F9 recombinant inbred lines derived from a cross of M35-1 × B35. A genetic linkage map was constructed with 237 markers consisting of 174 genomic, 60 genic and 3 morphological markers. The QTL analysis for 11 traits following composite interval mapping identified 91 QTL with 5-12 QTL for each trait. QTL detected in the population individually explained phenotypic variation between 2.5 and 30.3 % for a given trait and six major genomic regions with QTL effect on multiple traits were identified. Stable QTL across seasons were identified. Of the 60 genic markers mapped, 21 were found at QTL peak or tightly linked with QTL. A gene-based marker XnhsbSFCILP67 (Sb03g028240) on SBI-03, encoding indole-3-acetic acid-amido synthetase GH3.5, was found to be involved in QTL for seven traits. The QTL-linked markers identified for 11 agronomic traits may assist in fine mapping, map-based gene isolation and also for improving post-rainy sorghum through marker-assisted breeding.

Multiparent intercross populations in analysis of quantitative traits.

Most traits of interest to medical, agricultural and animal scientists show continuous variation and complex mode of inheritance. DNA-based markers are being deployed to analyse such complex traits, that are known as quantitative trait loci (QTL). In conventional QTL analysis, F2, backcross populations, recombinant inbred lines, backcross inbred lines and double haploids from biparental crosses are commonly used. Introgression lines and near isogenic lines are also being used for QTL analysis. However, such populations have major limitations like predominantly relying on the recombination events taking place in the F1 generation and mapping of only the allelic pairs present in the two parents. The second generation mapping resources like association mapping, nested association mapping and multiparent intercross populations potentially address the major limitations of available mapping resources. The potential of multiparent intercross populations in gene mapping has been discussed here. In such populations both linkage and association analysis can be conductted without encountering the limitations of structured populations. In such populations, larger genetic variation in the germplasm is accessed and various allelic and cytoplasmic interactions are assessed. For all practical purposes, across crop species, use of eight founders and a fixed population of 1000 individuals are most appropriate. Limitations with multiparent intercross populations are that they require longer time and more resource to be generated and they are likely to show extensive segregation for developmental traits, limiting their use in the analysis of complex traits. However, multiparent intercross population resources are likely to bring a paradigm shift towards QTL analysis in plant species.

Mapping of shoot fly tolerance loci in sorghum using SSR markers.

Sorghum (Sorghum bicolor (L.) Moench) is one of the most important crops in the semiarid regions of the world. One of the important biotic constraints to sorghum production in India is the shoot fly which attacks sorghum at the seedling stage. Identification of the genomic regions containing quantitative trait loci (QTLs) for resistance to shoot fly and the linked markers can facilitate sorghum improvement programmes through marker-assisted selection. A simple sequence repeat (SSR) markerbased skeleton linkage map of two linkage groups of sorghum was constructed in a population of 135 recombinant inbred lines (RIL) derived from a cross between IS18551 (resistant to shoot fly) and 296B (susceptible to shoot fly). A total of 14 SSR markers, seven each on linkage groups A and C were mapped. Using data of different shoot fly resistance component traits, one QTL which is common for glossiness, oviposition and dead hearts was detected following composite interval mapping (CIM) on linkage group A. The phenotypic variation explained by this QTL ranged from 3.8%-6.3%. Besides the QTL detected by CIM, two more QTLs were detected following multi-trait composite interval mapping (MCIM), one each on linkage groups A and C for the combinations of traits which were correlated with each other. Results of the present study are novel as we could find out the QTLs governing more than one trait (pleiotropic QTLs). The identification of pleiotropic QTLs will help in improvement of more than one trait at a time with the help of the same linked markers. For all the QTLs, the resistant parent IS18551 contributed resistant alleles.