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Genetic Nature of Elemental Contents in Wheat Grains and Its Genomic Prediction: Toward the Effective Use of Wheat Landraces from Afghanistan.

ABSTRACT: Profiling elemental contents in wheat grains and clarifying the underlying genetic systems are important for the breeding of biofortified crops. Our objective was to evaluate the genetic potential of 269 Afghan wheat landraces for increasing elemental contents in wheat cultivars. The contents of three major (Mg, K, and P) and three minor (Mn, Fe, and Zn) elements in wheat grains were measured by energy dispersive X-ray fluorescence spectrometry. Large variations in elemental contents were observed among landraces. Marker-based heritability estimates were low to moderate, suggesting that the elemental contents are complex quantitative traits. Genetic correlations between two locations (Japan and Afghanistan) and among the six elements were estimated using a multi-response Bayesian linear mixed model. Low-to-moderate genetic correlations were observed among major elements and among minor elements respectively, but not between major and minor elements. A single-response genome-wide association study detected only one significant marker, which was associated with Zn, suggesting it will be difficult to increase the elemental contents of wheat by conventional marker-assisted selection. Genomic predictions for major elemental contents were moderately or highly accurate, whereas those for minor elements were mostly low or moderate. Our results indicate genomic selection may be useful for the genetic improvement of elemental contents in wheat.

SUBMITTER: Manickavelu A

PROVIDER: S-EPMC5224831 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:Wheat rust diseases, including yellow rust (Yr; also known as stripe rust) caused by Puccinia striiformis Westend. f. sp. tritici, leaf rust (Lr) caused by Puccinia triticina Eriks. and stem rust (Sr) caused by Puccinia graminis Pres f. sp. tritici are major threats to wheat production all around the globe. Durable resistance to wheat rust diseases can be achieved through genomic-assisted prediction of resistant accessions to increase genetic gain per unit time. Genomic prediction (GP) is a promising technology that uses genomic markers to estimate genomic-assisted breeding values (GBEVs) for selecting resistant plant genotypes and accumulating favorable alleles for adult plant resistance (APR) to wheat rust diseases. To evaluate GP we compared the predictive ability of nine different parametric, semi-parametric and Bayesian models including Genomic Unbiased Linear Prediction (GBLUP), Ridge Regression (RR), Least Absolute Shrinkage and Selection Operator (LASSO), Elastic Net (EN), Bayesian Ridge Regression (BRR), Bayesian A (BA), Bayesian B (BB), Bayesian C (BC) and Reproducing Kernel Hilbert Spacing model (RKHS) to estimate GEBV's for APR to yellow, leaf and stem rust of wheat in a panel of 363 bread wheat landraces of Afghanistan origin. Based on five-fold cross validation the mean predictive abilities were 0.33, 0.30, 0.38, and 0.33 for Yr (2016), Yr (2017), Lr, and Sr, respectively. No single model outperformed the rest of the models for all traits. LASSO and EN showed the lowest predictive ability in four of the five traits. GBLUP and RR gave similar predictive abilities, whereas Bayesian models were not significantly different from each other as well. We also investigated the effect of the number of genotypes and the markers used in the analysis on the predictive ability of the GP model. The predictive ability was highest with 1000 markers and there was a linear trend in the predictive ability and the size of the training population. The results of the study are encouraging, confirming the feasibility of GP to be effectively applied in breeding programs for resistance to all three wheat rust diseases.

Project description:BackgroundMaternal and newborn mortality is a public health concern in low- and middle-income countries (LMICs), including Afghanistan, where the evolving socio-political circumstances have added new complexities to healthcare service delivery. Birth outcomes for both pregnant women and their newborns are improved if women receive benefits of quality antenatal care (ANC).ObjectivesThis study aimed to assess the contents of ANC services and identify predictors of utilization of services by pregnant women during ANC visits to health facilities in Afghanistan.MethodsIn this cross-sectional study, we used data from the Afghanistan Health Survey 2018 (AHS2018). We included a total of 6,627 ever-married women, aged 14-49 years, who had given birth in the past 2 years or were pregnant at the time of survey and had consulted a health worker for ANC services in a health facility. The outcome was defined as 1-4 services and 5-8 services that a pregnant woman received during an ANC visit. The services were (i) taking a pregnant woman's blood pressure, (ii) weighing her, (iii) testing her blood, (iv) testing her urine, (v) providing advice on nutrition, (vi) advising about complicated pregnancy, (vii) advising about the availability of health services, and (viii) giving her at least one dose of Tetanus Toxoid (TT) vaccine. The binary outcome (1-4 services versus 5-8 services) was used in a multivariable logistic regression model.ResultsOf all 6,627 women, 31.4% (2,083) received 5-8 services during ANC visits. Only 1.3% (86) received all 8 services, with 98.7% (6,541) receiving between 1 and 7 services, and 71.6% (4,745) women had their blood pressure measured during ANC visits. The likelihood (adOR = Adjusted Odds Ratio) of receiving 5-8 services was higher in women who could read and write (adOR = 1.33: 1.15-1.54), in women whose husbands could read and write (adOR = 1.14: 1.00-1.28), in primipara women (adOR = 1.42: 1.02-1.98), in women who knew one danger sign (adOR = 5.38: 4.50-6.45), those who knew 2 danger signs (adOR = 8.51: 7.12-10.19) and those who knew ≥ 3 danger signs (adOR = 13.19: 10.67-16.29) of complicated pregnancy, and in women who had almost daily access to TV (adOR = 1.16: 1.01-1.33). However, the likelihood of receiving 5-8 services was lower in women who used private clinics (adOR = 0.64: 0.55-0.74) and who received services from nurses (adOR = 0.27 (0.08-0.88).ConclusionOur findings have the potential to influence the design and implementation of ANC services of health interventions to improve the delivery of services to pregnant women during ANC visits.

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Genetic Nature of Elemental Contents in Wheat Grains and Its Genomic Prediction: Toward the Effective Use of Wheat Landraces from Afghanistan.

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