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Not AvailableA field experiment was conducted during 2008-09 and 2009-10 post-rainy seasons at Navsari, Gujarat to evaluate the effects of land configuration, fertilizers and farm yard manure (FYM) application on productivity, water use efficiency, nutrient uptake, soil fertility status and the economics of green gram ( Vigna radiata L.) cultivation. The raised bed method of planting was found superior as was evident from significant increase in growth and yield attributes, grain (0.93 t/ha) and stover yield (2.27 t/ha), irrigation water use efficiency (IWUE), nitrogen (N), phosphorus (P) and potassium (K) uptake, net returns ( 37.6 × 103/ha) and B:C ratio (3.9) and decrease in plant mortality percent. Application of 100% recommended dose of nitrogen (20 kg/ha) and phosphorus (40 kg P2O5/ha) recorded significantly higher growth and yield attributes, grain and stover yield, IWUE, NPK uptake, available NPK in the soil, net returns and B:C ratio over the application of 75% of recommended dose of N and P. Similarly, the application of FYM at 5t/ha recorded statistically higher growth and yield attributes, grain and stover yield, IWUE, NPK uptake, available NPK in the soil after harvest, net returns and B:C ratio and decrease in plant mortality percent over no FYM application.Not Availabl

Distinct Reproductive Risk Profiles for Intrinsic-Like Breast Cancer Subtypes: Pooled Analysis of Population-Based Studies

Background: Reproductive factors have been shown to be differentially associated with risk of estrogen receptor (ER)-positive and ER-negative breast cancer. However, their associations with intrinsic-like subtypes are less clear. Methods: Analyses included up to 23353 cases and 71072 controls pooled from 31 population-based case-control or cohort studies in the Breast Cancer Association Consortium across 16 countries on 4 continents. Polytomous logistic regression was used to estimate the association between reproductive factors and risk of breast cancer by intrinsic-like subtypes (luminal A-like, luminal B-like, luminal B-HER2-like, HER2-enriched-like, and triple-negative breast cancer) and by invasiveness. All statistical tests were 2-sided. Results: Compared with nulliparous women, parous women had a lower risk of luminal A-like, luminal B-like, luminal B-HER2-like, and HER2-enriched-like disease. This association was apparent only after approximately 10 years since last birth and became stronger with increasing time (odds ratio [OR] = 0.59, 95% confidence interval [CI] = 0.49 to 0.71; and OR = 0.36, 95% CI = 0.28 to 0.46 for multiparous women with luminal A-like tumors 20 to less than 25 years after last birth and 45 to less than 50 years after last birth, respectively). In contrast, parous women had a higher risk of triple-negative breast cancer right after their last birth (for multiparous women: OR = 3.12, 95% CI = 2.02 to 4.83) that was attenuated with time but persisted for decades (OR = 1.03, 95% CI = 0.79 to 1.34, for multiparous women 25 to less than 30 years after last birth). Older age at first birth (Pheterogeneity <. 001 for triple-negative compared with luminal A-like breast cancer) and breastfeeding (Pheterogeneity <. 001 for triple-negative compared with luminal A-like breast cancer) were associated with lower risk of triple-negative breast cancer but not with other disease subtypes. Younger age at menarche was associated with higher risk of all subtypes; older age at menopause was associated with higher risk of luminal A-like but not triple-negative breast cancer. Associations for in situ tumors were similar to luminal A-like. Conclusions: This large and comprehensive study demonstrates a distinct reproductive risk factor profile for triple-negative breast cancer compared with other subtypes, with implications for the understanding of disease etiology and risk prediction

A genome-wide gene-environment interaction study of breast cancer risk for women of European ancestry

Background Genome-wide studies of gene–environment interactions (G×E) may identify variants associated with disease risk in conjunction with lifestyle/environmental exposures. We conducted a genome-wide G×E analysis of ~ 7.6 million common variants and seven lifestyle/environmental risk factors for breast cancer risk overall and for estrogen receptor positive (ER +) breast cancer. Methods Analyses were conducted using 72,285 breast cancer cases and 80,354 controls of European ancestry from the Breast Cancer Association Consortium. Gene–environment interactions were evaluated using standard unconditional logistic regression models and likelihood ratio tests for breast cancer risk overall and for ER + breast cancer. Bayesian False Discovery Probability was employed to assess the noteworthiness of each SNP-risk factor pairs. Results Assuming a 1 × 10–5 prior probability of a true association for each SNP-risk factor pairs and a Bayesian False Discovery Probability < 15%, we identified two independent SNP-risk factor pairs: rs80018847(9p13)-LINGO2 and adult height in association with overall breast cancer risk (ORint = 0.94, 95% CI 0.92–0.96), and rs4770552(13q12)-SPATA13 and age at menarche for ER + breast cancer risk (ORint = 0.91, 95% CI 0.88–0.94). Conclusions Overall, the contribution of G×E interactions to the heritability of breast cancer is very small. At the population level, multiplicative G×E interactions do not make an important contribution to risk prediction in breast cancer

Physical activity, sedentary time and breast cancer risk: a Mendelian randomisation study

Objectives: Physical inactivity and sedentary behaviour are associated with higher breast cancer risk in observational studies, but ascribing causality is difficult. Mendelian randomisation (MR) assesses causality by simulating randomised trial groups using genotype. We assessed whether lifelong physical activity or sedentary time, assessed using genotype, may be causally associated with breast cancer risk overall, pre/post-menopause, and by case-groups defined by tumour characteristics. Methods: We performed two-sample inverse-variance-weighted MR using individual-level Breast Cancer Association Consortium case-control data from 130 957 European-ancestry women (69 838 invasive cases), and published UK Biobank data (n=91 105–377 234). Genetic instruments were single nucleotide polymorphisms (SNPs) associated in UK Biobank with wrist-worn accelerometer-measured overall physical activity (nsnps=5) or sedentary time (nsnps=6), or accelerometer-measured (nsnps=1) or self-reported (nsnps=5) vigorous physical activity. Results: Greater genetically-predicted overall activity was associated with lower breast cancer overall risk (OR=0.59; 95% confidence interval (CI) 0.42 to 0.83 per-standard deviation (SD;~8 milligravities acceleration)) and for most case-groups. Genetically-predicted vigorous activity was associated with lower risk of pre/perimenopausal breast cancer (OR=0.62; 95% CI 0.45 to 0.87,≥3 vs. 0 self-reported days/week), with consistent estimates for most case-groups. Greater genetically-predicted sedentary time was associated with higher hormone-receptor-negative tumour risk (OR=1.77; 95% CI 1.07 to 2.92 per-SD (~7% time spent sedentary)), with elevated estimates for most case-groups. Results were robust to sensitivity analyses examining pleiotropy (including weighted-median-MR, MR-Egger). Conclusion: Our study provides strong evidence that greater overall physical activity, greater vigorous activity, and lower sedentary time are likely to reduce breast cancer risk. More widespread adoption of active lifestyles may reduce the burden from the most common cancer in women

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Not AvailableAn experiment was conducted to examine the effect of weed management and plant nutrition practices on weed biomass, growth parameters and bulb yield of onion (Allium cepa L.). Weed management practices included alone application of herbicides, viz. pendimethalin, oxyfluorfen and fluazipop-p-butyl, their combination with hand weeding, weed free and weedy check. The crop was fertilized with three levels viz., 75% RDF, RDF (100:50:50 NPK kg/ha) and 125% RDF. The results indicated that weed management and fertilizer levels had a significant effect on weed population dynamics and onion bulb crop. The total weed density decreased significantly with application of pendimethalin 1 kg/ha or oxyfluorfen 0.24 kg/ha + one hand weeding at 40 days after transplanting (DAT) during both the seasons of investigation. Echinochloa ssp., Trianthema ortulacastrum, Digera arvensis Forsk. Physalis minima L. and Cynodon dactylon (L.) Pers. were found as major weeds in the crop. Higher onion bulb yield (38.0 t/ha) was recorded with pendimethalin 1 kg/ha + one hand weeding at 40 DAT. The increase in yield was 83.7% compared to the yield obtain in weedy check. Increasing level of fertilizer applications increased the total biomass of grassy and broad leaves weeds. Application of 125% RDF significantly improved bulb yield and increase in yield was 19.4 and 10.5 % over 75% RDF and RDF respectively. On the basis of interaction, combination of pendimethalin 1 kg/ha fb 1 hand weeding at 40 DAT and 100 % RDF was most productive (39.8 t/ha) and profitable (Net return `2,69,422/ha and benefit: cost ratio 7.85).Not Availabl

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Not AvailableA field experiment was conducted during 2008-09 and 2009-10 post-rainy seasons at Navsari, Gujarat to evaluate the effects of land configuration, fertilizers and farm yard manure (FYM) application on productivity, water use efficiency, nutrient uptake, soil fertility status and the economics of green gram (Vigna radiata L.) cultivation. The raised bed method of planting was found superior as was evident from significant increase in growth and yield attributes, grain (0.93 t/ha) and stover yield (2.27 t/ha), irrigation water use efficiency (IWUE), nitrogen (N), phosphorus (P) and potassium (K) uptake, net returns ( 37.6 × 103/ha) and B:C ratio (3.9) and decrease in plant mortality percent. Application of 100% recommended dose of nitrogen (20 kg/ha) and phosphorus (40 kg P2O5/ha) recorded significantly higher growth and yield attributes, grain and stover yield, IWUE, NPK uptake, available NPK in the soil, net returns and B:C ratio over the application of 75% of recommended dose of N and P. Similarly, the application of FYM at 5t/ha recorded statistically higher growth and yield attributes, grain and stover yield, IWUE, NPK uptake, available NPK in the soil after harvest, net returns and B:C ratio and decrease in plant mortality percent over no FYM application.Not Availabl

Common variants in breast cancer risk loci predispose to distinct tumor subtypes

Background Genome-wide association studies (GWAS) have identified multiple common breast cancer susceptibility variants. Many of these variants have differential associations by estrogen receptor (ER) status, but how these variants relate with other tumor features and intrinsic molecular subtypes is unclear. Methods Among 106,571 invasive breast cancer cases and 95,762 controls of European ancestry with data on 173 breast cancer variants identified in previous GWAS, we used novel two-stage polytomous logistic regression models to evaluate variants in relation to multiple tumor features (ER, progesterone receptor (PR), human epidermal growth factor receptor 2 (HER2) and grade) adjusting for each other, and to intrinsic-like subtypes. Results Eighty-five of 173 variants were associated with at least one tumor feature (false discovery rate < 5%), most commonly ER and grade, followed by PR and HER2. Models for intrinsic-like subtypes found nearly all of these variants (83 of 85) associated at p < 0.05 with risk for at least one luminal-like subtype, and approximately half (41 of 85) of the variants were associated with risk of at least one non-luminal subtype, including 32 variants associated with triple-negative (TN) disease. Ten variants were associated with risk of all subtypes in different magnitude. Five variants were associated with risk of luminal A-like and TN subtypes in opposite directions. Conclusion This report demonstrates a high level of complexity in the etiology heterogeneity of breast cancer susceptibility variants and can inform investigations of subtype-specific risk prediction.Genome Instability and Cance