Improve Rice Production Research Articles

Comparative Performance of Different Fertilizer Recommendation Methods on Growth and Yield of Rice (Oryza sativa) in Old Brahmaputra Floodplain Soils

Improving rice productivity is the challenge for the farmer due to rapid soil health deterioration in intensive agricultural system. Therefore, the present study was conducted to evaluate comparative performance of different nutrient management practices in rice production in Bangladesh. The experiment was laid out in a randomized complete block design with three replications. There were six treatments namely, T1 (Control-no fertilizer), T2 (Farmer’s Practice), T3 (Fertilizer Recommendation Guide-2018), T4 (BAU Soil Testing Kit), T5 (Soil Test Basis) and T6 (Rice Crop Manager). The results revealed that all the treatments showed better performances over control (T1). Treatment T4 (BAU Soil Testing Kit) produced the highest value of plant height (90.18 cm), panicle length (24.90), filled grains panicle-1 (122.60) and 1000-grain weight (26.67g) while T5 (Soil Test Basis) produced maximum effective tillers hill-1 (12.80). The highest grain yield (6.29 t ha-1) and straw yield (7.73 t ha-1) were recorded in treatment T4 (BAU Soil Testing Kit). Treatment T4 (BAU Soil Testing Kit) also showed the highest grain yield increase (61.49%) and straw yield increase (90.49%) over control. The highest total N, P and K uptake (108.84 kg ha-1, 24.54 kg ha-1 and 128.17 kg ha-1) were obtained in the treatment T4 (BAU Soil Testing Kit). Control treatment T1 (No fertilizers) showed minimum performances in all the cases compared to other treatments. The overall result demonstrated that the application of fertilizers following BAU Soil Testing Kit method of fertilizer application system is a better option for rice production.

Comprehensive Analysis of Autophagy-Related Genes in Rice Immunity against Magnaporthe oryzae.

Rice blast disease, caused by the fungus Magnaporthe oryzae, is a significant threat to rice production. Resistant cultivars can effectively resist the invasion of M. oryzae. Thus, the identification of disease-resistant genes is of utmost importance for improving rice production. Autophagy, a cellular process that recycles damaged components, plays a vital role in plant growth, development, senescence, stress response, and immunity. To understand the involvement of autophagy-related genes (ATGs) in rice immune response against M. oryzae, we conducted a comprehensive analysis of 37 OsATGs, including bioinformatic analysis, transcriptome analysis, disease resistance analysis, and protein interaction analysis. Bioinformatic analysis revealed that the promoter regions of 33 OsATGs contained cis-acting elements responsive to salicylic acid (SA) or jasmonic acid (JA), two key hormones involved in plant defense responses. Transcriptome data showed that 21 OsATGs were upregulated during M. oryzae infection. Loss-of-function experiments demonstrated that OsATG6c, OsATG8a, OsATG9b, and OsATG13a contribute to rice blast resistance. Additionally, through protein interaction analysis, we identified five proteins that may interact with OsATG13a and potentially contribute to plant immunity. Our study highlights the important role of autophagy in rice immunity and suggests that OsATGs may enhance resistance to rice blast fungus through the involvement of SA, JA, or immune-related proteins. These findings provide valuable insights for future efforts in improving rice production through the identification and utilization of autophagy-related genes.

The Use of Magnesium Fertilizer Can Improve the Nutrient Uptake, Yield, and Quality of Rice in Liaoning Province

In this study, the effects of the soil application and foliar spraying with magnesium fertilizers on rice yield and quality in Liaoning Province were investigated. Field experiments were conducted at Kaiyuan, Xinmin, and Dawa in 2022 and 2023. Magnesium fertilizers were used in the soil as magnesium sulfate monohydrate and silicon–magnesium fertilizer and on leaves was magnesium sulfate heptahydrate. The results showed that the application of 12 kg magnesium hm−2 in the soil at the Kaiyuan site can significantly increase rice yield by 14.8% compared with sites without magnesium fertilizer. The use of silicon–magnesium fertilizer showed a more obvious yield increase of 22.2%. The application of 3 kg magnesium hm−2 or 6 kg magnesium hm−2 on the leaf surface increased the rice yield at Kaiyuan by 19.4% and 21.6% and at Xinmin by 17.8% and 5.4%, respectively. The yield increase was more significant under the optimal fertilization treatment compared with the conventional fertilization treatment. The application of magnesium fertilizer increased the magnesium, nitrogen, and phosphorus contents in rice shoots and the potassium and crude protein contents in rice grains. The effect of foliar spraying with magnesium fertilizers was more obvious than soil application. Therefore, the magnesium fertilizer used on the leaf surface plays an important role in improving rice yield and quality in rice-growing areas with relatively rich soil magnesium content. Magnesium fertilizer can compensate for the yield decrease caused by the reduced use of nitrogen and phosphorus fertilizers by promoting nitrogen and phosphorus absorption in rice. Conclusively, the application of magnesium fertilizer is a promising measure to improve rice production in Liaoning province under a reduced nitrogen and phosphate fertilizer background.

Evaluation of Rice Varieties under Front Line Demonstrations in the Agro-climatic Zone of the Chhattisgarh Plains of Madhya Pradesh, under Irrigated Condition

Frontline demonstrations were conducted with recommended scientific package and practices at farmer’s fields in the Chhattisgarh plain agro-climatic zone of Balaghat district, Madhya Pradesh to evaluate the performance of two rice varieties viz., JR-81 and JRB-1under irrigated conditions during Kharif 2019. The data on yield and economics of demonstrated under FLD, when compared with farmer’s practices on popular rice variety MTU-1010 revealed that both the rice varieties performed superior to MTU-1010. JR-81 and JRB-1with improved production technologies showed increased mean grain yield by 17.17% over existing farmers practice with Rs. 2450 ha-1 extra expenditure on inputs. The mean extension gap (7.80 q ha-1) and mean IBCR (4.78) recorded were sufficiently high, which may motivate the farmers to adopt JR-81 and JRB-1 varieties with the improved rice production technology.

CLIMATE-SMART RICE PRODUCTION: A REVIEW

‌Rice is one of the world's most important crops and the primary source of nutrition for the world's more than half population. Currently, the world rice production is 495.78 million tons, while it will increase to 525 tons in 2050, which is not sufficient for the world's increasing population. At the same time, various climatic factors affect rice production, such as air temperature, atmospheric CO2, light, water, and soil nutrients. For instance, high temperature was the main climate factor that caused yield variation by affecting the rice maturity periods, spikelet fertility, and spikelet number. Thus, it is an urgent need to improve rice production and reduce the negative effects of climate change on rice production. In order to solve above-mentioned problem, one of the most important options is using climate-smart practices, which are planting improved rice varieties, soil and water conservation techniques, and adjusting planting and harvesting dates. The importance of adapting climate smart practices is an increase in rice yield by 15.87%. Climate-smart rice production and climate-smart practices in rice needs still to be investigated widely. The review objective is to describe climate-smart practices in rice cultivation, in order to mitigate the negative effects of climate change on rice production.

ADOPTION OF IMPROVED PRODUCTION TECHNOLOGIES AMONG RICE FARMERS IN WASE LOCAL GOVERNMENT AREA OF PLATEAU STATE, NIGERIA

This study assessed adoption of improved production technologies among rice farmers’ in Wase Local Government Areas of Plateau State, Nigeria. Multistage sampling technique was used in the selection of 160 respondents for the study. Descriptive statistics, four point Likert scale and Logit regression were used to achieve the objectives of the study. Findings from the study revealed the mean age of the farmers to be 40years. Majority (67%) of the respondents were males and 91% of them married. 44% of the respondents had secondary education and a mean farming experience of 8 years. Majority (64%) of the respondents had farming as their major occupation on average farm sizes of 1.6 hectares. The mean annual income of the farmers was N 202,356. Improved rice production technologies such as appropriate time of harvesting (3.44), land preparation by tractors (3.42), recommended time of weeding (3.41), appropriate planting dates (3.25), use of herbicides (3.24), improved seed varieties (3.11), application of recommended fertilizer (3.05), nursery practice and transplanting (2.73) all had high levels of awareness and adoption respectively among the farmers. Age, educational status, farming experience, farm size, extension contact and annual income were significant determinant of adoption of improved rice production technologies. High cost of technology (69%), inadequate extension contact (61%) inadequate credit access (48%) and lack of accessibility of some technologies (28.0) were the major constraints affecting adoption of improved rice production technologies. The study recommended the subsidization of inputs (improved seeds, fertilizers and agro-chemicals) by government to reduce cost of production.

A new strategy of using periphyton to simultaneously promote remediation of PAHs-contaminated soil and production of safer crops

Contaminated farmland leads to serious problems for human health through biomagnification in the soil-crop-human chain. In this paper, we have established a new soil remediation strategy using periphyton for the production of safer rice. Four representative polycyclic aromatic hydrocarbons (PAHs), including phenanthrene (Phe), pyrene (Pyr), benzo[b]fluoranthene (BbF), and benzo[a]pyrene (BaP), were chosen to generate artificially contaminated soil. Pot experiments demonstrated that in comparison with rice cultivation in polluted soil with ΣPAHs (50 mg kg−1) but without periphyton, adding periphyton decreased ΣPAHs contents in both rice roots and shoots by 98.98% and 99.76%, respectively, and soil ΣPAHs removal reached 94.19%. Subsequently, risk assessment of ΣPAHs based on toxic equivalent concentration (TEQ), pollution load index (PLI), hazard index (HI), toxic unit for PAHs mixture (TUm), and incremental lifetime cancer risk (ILCR) indicated that periphyton lowered the ecological and carcinogenicity risks of PAHs. Besides, the role of periphyton in enhancing the rice productivity was revealed. The results indicated that periphyton alleviated the oxidative stress of PAHs on rice by reducing malondialdehyde (MDA) content and increasing total antioxidant capacity (T-AOC). Periphyton reduced the toxic stress of PAHs on the soil by promoting soil carbon cycling and metabolic activities as well. Periphyton also improved the soil's physicochemical properties, such as the percentage of soil aggregate, the contents of humic substances (HSs) and nutrients, which increased rice biomass. These findings confirmed that periphyton could improve rice productivity by enhancing soil quality and health. This study provides a new eco-friendly strategy for soil remediation and simultaneously enables the production of safe crops on contaminated land.

Growth and protein response of rice plant with plant growth-promoting rhizobacteria inoculations under salt stress conditions.

Soil salinity has been one of the significant barriers to improving rice production and quality. According to reports, Bacillus spp. can be utilized to boost plant development in saline soil, although the molecular mechanisms behind the interaction of microbes towards salt stress are not fully known. Variations in rice plant protein expression in response to salt stress and plant growth-promoting rhizobacteria (PGPR) inoculations were investigated using a proteomic method and sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE). Findings revealed that 54 salt-responsive proteins were identified by mass spectrometry analysis (LC-MS/MS) with the Bacillus spp. interaction, and the proteins were functionally classified as gene ontology. The initial study showed that all proteins were labeled by mass spectrometry analysis (LC-MS/MS) with Bacillus spp. interaction; the proteins were functionally classified into six groups. Approximately 18 identified proteins (up-regulated, 13; down-regulated, 5) were involved in the photosynthetic process. An increase in the expression of eight up-regulated and two down-regulated proteins in protein synthesis known as chaperones, such as the 60kDa chaperonin, the 70kDa heat shock protein BIP, and calreticulin, was involved in rice plant stress tolerance. Several proteins involved in protein metabolism and signaling pathways also experienced significant changes in their expression. The results revealed that phytohormones regulated the manifestation of various chaperones and protein abundance and that protein synthesis played a significant role in regulating salt stress. This study also described how chaperones regulate rice salt stress, their different subcellular localizations, and the activity of chaperones.

A cost benefits analysis of the adoption of system of rice intensification: Evidence from smallholder rice farmers within an innovation platform in Oluch irrigation scheme, Kenya.

In the wake of climate change and dwindling natural resources, system of rice intensification has been fronted as an approach to improve rice production in several countries. Besides the benefits such as improved rice productivity, reduced water usage that have widely been observed, there is need to quantify the economic benefits of system of rice intensification accrued to farmers, thereby promoting it as an innovation to improve livelihoods of rice farmers. This aim of this paper is to quantify the economic benefits of undertaking SRI among smallholder rice farmers. We introduced SRI among smallholder farmers in a rural setting in western Kenya, Oluch irrigation scheme, through an innovation platform approach. Over the period of four years (2016-2019), we quantify the benefits accrued to the uptake of the technology among adopters of the technology. Our comparisons are in reference to a baseline study conducted prior to the full-scale promotion of SRI in the study area. Our study findings reveal that the uptake of specific SRI practices increased by at least 30-80%, and acreage under rice farming increased by 50%. Besides, SRI required more production costs per acre (63% increase), although SRI had at least 28.6% higher return per shilling invested. Our findings underscore previous results in the literature that SRI is associated with not only productivity but also economic benefits justifying the need for scaling especially among smallholder farmers. Nonetheless, efficient approaches to scaling such promising technologies are necessary to enhance productivity and subsequently improve livelihoods.

Mitigating Iron Toxicity by Using Rock Phosphate to Improve Rice Productivity

Mitigating Iron Toxicity by Using Rock Phosphate to Improve Rice Productivity

Actinomycete inoculant improves the growth and yield of rainfed lowland and upland rice under field conditions

This study aimed to assess the effectiveness of actinomycete inoculant in enhancing the growth and yield of rainfed lowland and upland rice across wet and dry seasons in real field conditions. This field assessment took place at four sites, comprising two rainfed lowland and two rainfed upland ecosystems, over two cropping seasons (dry and wet seasons). The experiments involved testing both soil-based and carbonized rice hull (CRH) inoculants. Actinomycetes were found to be effectively carried by CRH and soil, and evidence from field studies in rainfed lowland and upland conditions showed that the actinomycete inoculant significantly improved rice production even under stressful environmental conditions. Regarding plant height, root depth, and tiller number, the inoculated treatments outperformed both the control and the full fertilization rates. Rice yield significantly increased with the application of actinomycete inoculum in both lowland and upland experiments. Inoculation alone led to substantial improvements, with yield increases of up to 48% in Lowland Site 1, 50% in Lowland Site 2, 78% in Upland Site 1, and 43% in Upland Site 2. Similarly, growth was enhanced by inoculation alone, reaching up to 50% in Lowland Site 1, 75% in Lowland Site 2, 24% in Upland Site 1, and 26% in Upland Site 2. When added to the full rate of fertilization, the inoculant significantly boosted yield by up to 16% in Lowland Site 1, 82% in Upland Site 1, and 40% in Upland Site 2. Additionally, growth substantially improved with inoculation in conjunction with the full rate of fertilization, reaching as much as 50% in lowland site 1, and 24% in upland site 1. Actinomycete inoculant proves to be a valuable alternative and addition to agricultural fertilizer management, as it was found to significantly increase growth and yield even in adverse weather conditions.

Consistent yield performance of rice genotypes grown under irrigated conditions in wet and dry seasons in West Africa

ContextRice double cropping in irrigated systems is essential for increasing rice production and ensuring food security in West Africa. Rice breeding programs must develop genotypes that are expected to perform well either across wet and dry seasons or for a specific season. ObjectiveThis study aimed to investigate the consistency of genotypic performance across two seasons and identify high-yielding genotypes and their characteristics. Methods50 diverse genotypes were grown under irrigated conditions in wet and dry seasons at three sites in West Africa (M’bé in Côte d’Ivoire, and Fanaye and Ndiaye in Senegal) for three years (2018–2020). ResultsMean grain yield across all genotypes was higher in dry season in Fanaye (593 vs. 495 g/m2) and Ndiaye (737 vs. 415 g/m2) than in wet season, but the same for the two seasons in M’bé (512 vs. 507 g/m2). The consistency of genotypic performance across wet and dry seasons was the highest in M’bé (r = 0.88, P < 0.01), followed by Fanaye (r = 0.71, P < 0.01), and lowest in Ndiaye (r = 0.49, P < 0.01). Thus, correlations for yields between two seasons becomes poorer as difference in yield level between two seasons becomes larger. Two (NSIC Rc240 and Giza 178) and one (MG 2::IRGC 79837-1) genotypes from other regions were identified for high yield in both seasons in Côte d’Ivoire and Senegal, respectively. High-yielding genotypes were characterized by large aboveground biomass and high harvest index in both seasons in all three sites. Grain yield was positively correlated with days to heading and number of grains per panicle in both seasons in M’bé and Fanaye. In Ndiaye, none of the yield components was consistently related to grain yield across two seasons. ConclusionsIt is possible for rice breeding programs to develop and identify genotypes that are expected to perform well in two seasons. High-yielding genotypes identified in this study can be used as donors for improving rice productivity in West Africa. ImplicationsField experiments were conducted in three sites in two countries only, and further effort is needed to evaluate consistency of genotypic performance across diverse agro-ecological zones in West Africa.

DETERMINANTS OF CONSUMER PREFERENCE FOR RICE IN MAIDUGURI METROPOLITAN COUNCIL OF BORNO STATE, NIGERIA

The study analysed the determinants of consumer preference for rice in Maiduguri Metropolis, Borno State, Nigeria. The specific objectives were to examine the socio-economic characteristics of rice consumers in the study area; identify and rank attributes that determine consumer preference for rice and examine the relationship between price and quality attributes of rice. A sample size of 125 was obtained using Khotari (2004) formula for estimating sample size. Both primary and secondary data were used for the study. The primary data were collected by use of structured questionnaires administered to respondents selected using a random sampling technique. The study used both descriptive and inferential statistics for data analysis. The findings of the descriptive statistics revealed that the respondents were mostly females within the age group of 31-40 years. Majority (68%) are married, educated and earning above the N18, 000 minimum wage as their monthly income. The result further indicates that price, cleanliness, taste, availability and source of origin were the most preferred rice quality attributes. The results of the hedonic price analysis revealed that taste, cohesion, cleanliness, grain size and swelling capacity showed a positive significant relationship with price. The study concludes that consumer preference for rice quality attributes was found to affect price both positively and negatively. Hence, the study recommends that all efforts to improve rice production in Nigeria must therefore aim to introduce these desirable attributes into breeding programmes so as to raise the demand for local rice, thereby helping the country achieve its rice self-sufficiency goal.

Automated in-season rice crop mapping using Sentinel time-series data and Google Earth Engine: A case study in climate-risk prone Bangladesh

High-resolution mapping of rice fields is crucial for understanding and managing rice cultivation in countries like Bangladesh, particularly in the face of climate change. Rice is a vital crop, cultivated in small scale farms that contributes significantly to the economy and food security in Bangladesh. Accurate mapping can facilitate improved rice production, the development of sustainable agricultural management policies, and formulation of strategies for adapting to climatic risks.To address the need for timely and accurate rice mapping, we developed a framework specifically designed for the diverse environmental conditions in Bangladesh. We utilized Sentinel-1 and Sentinel-2 time-series data to identify transplantation and peak seasons and employed the multi-Otsu automatic thresholding approach to map rice during the peak season (April–May). We also compared the performance of a random forest (RF) classifier with the multi-Otsu approach using two different data combinations: D1, which utilizes data from the transplantation and peak seasons (D1 RF) and D2, which utilizes data from the transplantation to the harvest seasons (D2 RF).Our results demonstrated that the multi-Otsu approach achieved an overall classification accuracy (OCA) ranging from 61.18% to 94.43% across all crop zones. The D2 RF showed the highest mean OCA (92.15%) among the fourteen crop zones, followed by D1 RF (89.47%) and multi-Otsu (85.27%). Although the multi-Otsu approach had relatively lower OCA, it proved effective in accurately mapping rice areas prior to harvest, eliminating the need for training samples that can be challenging to obtain during the growing season.In-season rice area maps generated through this framework are crucial for timely decision-making regarding adaptive management in response to climatic stresses and forecasting area-wide productivity. The scalability of our framework across space and time makes it particularly suitable for addressing field data scarcity challenges in countries like Bangladesh and offers the potential for future operationalization.

Penerapan Metode K-Means Clustering pada Hasil Produksi Beras di Wilayah Sumatera Utara

This research aims to apply the method K-Means Clustering on rice production results in the region North Sumatra. K-Means Clustering is a data analysis technique that is useful for grouping data into several groups based on similar characteristics. This research uses rice production data from several districts/cities in North Sumatra as samples. The K Means method is used to group these regions into several clusters based on rice production they. The research results show that the K Means Clustering method can be used for identification rice production patterns in the North Sumatra region. The hope is, research results can be a valuable contribution, provide recommendations, and support initiatives for the North Sumatra provincial government in improving rice production throughout the region, with the aim of ensuring a more stable food supply for the community.

Identification of the CNGC Gene Family in Rice and Mining of Alleles for Application in Rice Improvement.

Cyclic nucleotide-gated ion channel (CNGC) gene regulation plays important roles in plant immune and abiotic stress response. Here, we identified 16 CNGC genes in rice (Oryza sativa). Then, we analyzed their chromosomal location, physicochemical properties, subcellular localization, gene functional interaction network, cis-acting elements, phylogenetic relationships, collinearity, expression in tissues under normal conditions and abiotic stresses, and geng-cds-haplotype (gcHap) diversity in 3010 gcHaps. As a result, OsCNGC3 (Os06g0527300) was identified as a gene different from previous report, and OsCNGC genes were found to play important roles in rice population differentiation and rice improvement. Our results revealed their very strong differentiation between subspecies and populations, important roles in response to abiotic stresses, as well as strong genetic bottleneck effects and artificial selection of gcHap diversity in the modern breeding process of Xian (indica) and Geng (japonica) populations. The results also suggested that natural variations in most rice CNGC loci are potentially valuable for improving rice productivity and tolerance to abiotic stresses. The favorable alleles at the CNGC loci should be explored to facilitate their application in future rice improvement.

The alternative policies to sustain the level of sufficient domestic rice staple food supply for the population (A case study in Banyumas Regency, Central Java, Indonesia)

The Indonesian government has implemented various policies to meet the population’s need to raise staple food. Global food crises and malnutrition issues arise from several factors including population growth, uncontrolled conversion of rice fields, shifting consumption patterns, and climate change. Therefore, efforts to maintain and increase domestic rice production have become crucial to reduce potential food vulnerabilities and dependence on other countries for food. This study aims to analyze the dynamics of domestic rice sufficiency in the Banyumas Regency, analyze key related variables, and formulate policies to maintain it. The research methods used were visual image interpretation, building dynamic models, and conducting prospective analysis using the MICMAC method. The results show that domestic rice sufficiency is decreasing, resulting in a widening gap between the population’s rice needs and the domestic rice supply. The domestic rice supply in the study area can meet the rice needs of the local population by 2025, and in 2026, a deficit will begin to occur. Policies that can be implemented include increasing the planting index, improving rice productivity, food diversification, and implementing regulations to protect the rice fields. Critical variables in its implementation include the Regent’s Regulation on Rice Field Protection, detailed spatial information on rice fields, irrigation water availability, and the active role of farmer groups.

Dissecting the Genetic Relationship between Root Morphological Traits with Grain Yield of Introgression Lines (ILs) Derived from Wild Rice (Oryza rufipogon Griff) under Low Soil Phosphorous Condition

Soil phosphorous (P) deficiency is one of the limiting factors in rice production in both upland and rainfed lowland ecosystems. Since P is diffusion limited in depleted root zones, understanding the link between root morphological traits and yields is crucial for improving rice productivity. To understand this link, phenotypic screening experiment was conducted for the 38 ILs (BC1F6) derived from the wild rice (Oryza rufipogon Griff) along with the six checks in specialized low P plots and normal soil P (RDF) plot at ICAR-IIRR, Hyderabad during rice growing season Kharif-2020 by adapting augmented block design. The genotypes were screened for grain yield along with root traits such as tiller number per plant (TN), shoot length (SL), root length (RL), root volume (RV), shoot fresh weight (SFW), shoot dry weight (SDW), root fresh weight (RFW), root dry weight (RDW), root to shoot ration on wet weight basis (RSRWW), root to shoot on dry weight basis (RSRDW), SPAD chlorophyll meter reading (SCMR). The results from ANOVA revealed that, MSS due to genotypes, (checks + genotypes) were significant ((p&lt;0.01 and p&lt;0.05)) for most of the root architectural traits and for two different regime of P under investigation. Wide range of genetic variation was recorded for the traits such as RL, RV, SFW, SDW, RFW, RDW, RSRWW, RSRDW and GYP with high GCV and PCV and high h2 coupled with high GAM under both P gradient conditions. Strong inter-correlation among the component traits was observed for the root traits such as RV (0.43**: 0.50**), SFW(0.81**:0.60**), SDW (0.65**: 0.81**), RFW (0.87**:0.64**), RDW (0.83**: 0.87**) and RL (0.36**: 0.43**) along with GYP (0.52**) under low soil P and normal soil P. Principal component analysis with first four PCs revealed existence of 69.40 and 70.30% of total variance and clustering analysis identified the promising genotypes as IL-9-10, IL-11-2, IL-21-8, IL-19-3, IL-22-1, IL-23-2, IL-23-7, IL-31-3, IL-42-3, IL-67-2, IL-69-1, IL-75-2, Swarna and Rasi with root traits RV, RDW, RFW, RL, and GYP are effective traits for rice cultivation.

Effect of one or more microorganisms on the yield components of upland rice under greenhouse conditions

The use of beneficial microorganisms is an important strategy to improve rice production in a sustainable way. The study was carried out to determine the effect of single and combined beneficial microorganism on the development of upland rice. The experiment was performed in greenhouse and arranged in a completely randomized design with 29 treatments and 4 replications. Treatments consisted of rice seeds cultivar BRS A501 CL treated with single and combined multifunctional microorganisms (1 (Serratia marcescens), 2 (Bacillus toyonensis), 3 (Phanerochaete australis), 4 (Trichoderma koningiopsis), 5 (Azospirillum brasilense), 6 (Azospirillum sp.), 7 (Bacillus sp.), 8 to 28 (combination of all these microorganisms in pairs) and 29 (control)). Inoculation of upland rice with sole and combined microorganism on upland rice increased the roots and shoots development, yield components and grain yield of upland rice. The combinations of Bacillus sp. (BRM 63573) and A. brasilense (AbV5), Azospirillum sp. (BRM 63574) + B. toyonensis (BRM 32110) and Phanerochaete australis (BRM 62389) + Serratia marcenscens (BRM 32114) led to improved roots and shoots development; increased number of panicles and grains per pot, 1000 grains weight and grain yield of rice plants. Besides, the combinations allow helped in increased accumulation of nutrients in roots, shoots and grains of rice plants.

Impact of Front Line Demonstrations in Improving Rice Productivity and Profitability in Jaunpur District of Uttar Pradesh, India

A study was carried out during Kharif, 2019 to assess the impact of Frontline Demonstrations (FLDs) on productivity and profitability of rice crop in Jaunpur district of Uttar Pradesh. The FLDs were conducted by the ICAR-Indian Agricultural Research Institute, Regional Station Pusa, Samastipur, Bihar, under the IARI-Outreach Programme to know the yield gap, technology gap, extension gap, economic return, extent of farmer’s satisfaction, and constraints faced by the farmers, especially paddy growers. The critical inputs were identified in existing production technology through personal interaction, group meetings, and discussions with farmers and scientists. Improved variety, soil testing, seed treatment, integrated nutrient management, weed management, and pest and disease management are among the improved technologies. The result showed that switching from traditional farming methods to more advanced production technologies can result in yields of 30.00 percent and net returns of 27.00 percent. The extension gap of 1.20 t/ha, technological gap (0.55 t/ha), and technology index (9.57%) were registered for the Pusa Sugandha-5 variety. An additional returns of ₹16884.33/ha was obtained with an additional investment of ₹8395.67/ha, coupled with scientific monitoring of demonstrations and the use of rice varieties during investigations, which also influenced the economic returns per unit area. The constraint that was found to be the most difficult to overcome was the lack of improved, high-yielding rice varieties. In order to increase their yield and increase the production and productivity of rice in Uttar Pradesh, farmers in the area are advised to adopt new rice varieties as well as a recommended improved package of practices and technologies.