scholarly journals Responses of wilt tolerant varieties of lentil under Bundelkhand condition of Uttar Pradesh

2020 ◽  
Vol 15 (4) ◽  
pp. 359-362
Author(s):  
R.K. Singh ◽  
V. R. Chaudhry ◽  
Ram Prakash ◽  
M.K. Singh
Keyword(s):  
Grain Yield ◽  
Seed Yield ◽  
Uttar Pradesh ◽  
Low Fertility ◽  
Average Yield ◽  
Rabi Season ◽  
Local Variety ◽  
Fertility Status ◽  
Adaptive Trial

The adaptive trial was laidout during Rabi season with the objective to increase the lentil production with wilt tolerant varieties and replace the old cultivars, which is in vogue. The soil of operational area is Kabar, having low fertility status. The wilt tolerant cultivars DPL-62, K-75 and PL- 406 were tested with local variety, which is popularized among the farming majority. The cultivars were planted in the first fortnight of November and harvested after 128 DAS in the second fortnight of March. The highest average yield of lentil was recorded in cultivar DRL-62 by 15.75 q/ha, which lowest average seed yield of 13.00 q/ha was recorded in local check, varieties K-75 and PL-406 produced grain yield by 14.75 q/ha and 14.00 q/ha, respectively. The yield contributing character were concordance to grain yield of lentil. The maximum BCR 1:2.36 was calculated with cultivar DPL-62 closely followed by K-75 (1:2.14). The minimum BCR noted under local check.

Study onGenetic Variability, Heritability and Genetic Advance for Seed Yield and Component Traits in Rice

2017 ◽  
Vol 4 (03) ◽  
Author(s):  
PUNIT KUMAR ◽  
VICHITRA KUMAR ARYA ◽  
PRADEEP KUMAR ◽  
LOKENDRA KUMAR ◽  
JOGENDRA SINGH
Keyword(s):  
Grain Yield ◽  
Plant Height ◽  
Seed Yield ◽  
Flag Leaf ◽  
Grain Weight ◽  
Major Influence ◽  
Genetic Advance ◽  
Component Traits ◽  
Biological Yield ◽  
1000 Grain Weight

A study on genetic variability, heritability and genetic advance for seed yield and component traits was made in 40 genotypes of riceduring kharif 2011-2012 at SHIATS, Allahabad. The analysis of variance showed highly significant differences among the treatments for all the 13 traits under study.The genotypes namely CN 1446-5-8-17-1-MLD4 and CR 2706 recorded highest mean performance for panicles per hill and grain yield. The highest genotypic and phenotypic variances (VG and VP) were recorded for spikelets per panicle (3595.78 and 3642.41) followed by biological yield (355.72 and 360.62) and plant height (231.48 and 234.35).High heritability (broad sense) coupled with high genetic advance was observed for plant height, flag leaf length, panicles per hill, tillers per hill, days to maturity, spikelet’s per panicle, biological yield, harvest index, 1000 grain weight and grain yield, indicating that selection will be effective based on these traits because they were under the influence of additive and additive x additive type of gene action. Highest coefficient of variation (PCV and GCV) was recorded for tillers per hill (18.42% and 17.23%), panicle per hill (19.76 % and 18.68%), spikelet’s per panicle (34.30 and34.07 %), biological yield (28.31 % and 28.12 %), 1000 grain weight (15.57 % and 15 31 %) and grain yield (46.66% and 23.54 %), indicating that these traits are under the major influence of genetic control, therefore the above mentioned traits contributed maximum to higher grain yield compared to other traits, indicating grain yield improvement through the associated traits.

scholarly journals Potential yield of soybean promising lines in acid soil of Central Lampung, Indonesia

2014 ◽  
Vol 5 (1) ◽  
Author(s):  
Heru Kuswantoro
Keyword(s):  
Grain Yield ◽  
Seed Size ◽  
Seed Yield ◽  
Soil Ph ◽  
Acid Soil ◽  
Potential Yield ◽  
Climate Conditions ◽  
Check Variety ◽  
Similar Soil

Most of Indonesia dryland is covered by acid soil which lead to the decreasing potential yield of the crops. In different areas soybean potential yield also different depends on the different soil pH and the availability of the soil. The objective of the research was to study the potential yield of soybean promising lines in acid soil of Central Lampung, Indonesia. Ten promising lines and two check varieties (Tanggamus and Wilis) were grown in acid soil with pH 4.7. The results showed that the highest seed yield was showed by SC5P2P3.5.4.1-5 with 2.51 t/ha. Other soybean promising lines with seed yield over than 2 t/ha-1 was SJ-5/Msr.99.5.4.5-1-6-1 and the check variety Tanggamus. The highest yield of SC5P2P3.5.4.1-5 was caused by the high number of filled pods and the large of seed size. Other nine promising lines also can be developed to obtained grain yield as many as Tanggamus yield in the area with similar soil and climate conditions.

scholarly journals Growth, yield and nutrient content of mungbean (Vigna radiata L.) in response to INM in eastern Uttar Pradesh, India

2018 ◽  
Vol 44 (3) ◽  
pp. 479-482 ◽  
Author(s):  
Yubaraj Dhakal ◽  
RS Meena ◽  
Nirmal De ◽  
SK Verma ◽  
Ajeet Singh
Keyword(s):  
Seed Yield ◽  
Harvest Index ◽  
Dry Matter ◽  
Uttar Pradesh ◽  
Growth Yield ◽  
Nutrient Content ◽  
Dry Matter Accumulation ◽  
Spad Value ◽  
Leaf Chlorophyll ◽  
Eastern Uttar Pradesh

Significant improvement in LAI, number of trifoliate, SPAD value of green leaf chlorophyll, dry matter accumulation, yield, harvest index (%) and nutrient content of mungbean were recorded due to application of 75% RDF + 2.5 t/ha vermicompost (VC) + Rhizobium (Rh)+ phosphorus solublizing bacteria (PSB), followed by 100% RDF + 2.5 t/ha VC and 100% RDF + Rh + PSB. The highest seed yield of mungbean was obtained with the application of 75% RDF + 2.5 t/ha VC + Rh + PSB (12.34 q /ha) followed by 100% RDF + 2.5 t/ha VC (12.05 q /ha) and 100% RDF + Rh+ PSB (11.95 q /ha).

scholarly journals Use of Limiting Nutrients for Reclamation of Non-responsive Soils in Northern Ghana

2021 ◽  
Vol 1 ◽  
Author(s):  
Rechiatu Asei ◽  
Robert Clement Abaidoo ◽  
Andrews Opoku ◽  
Samuel Adjei-Nsiah ◽  
Philip Antwi-Agyei
Keyword(s):  
Grain Yield ◽  
Complete Solution ◽  
Chemical Properties ◽  
Mineral Fertilizer ◽  
Low Fertility ◽  
Northern Ghana ◽  
Yield Response ◽  
Nutrient Inputs ◽  
Grain Yields ◽  
Limiting Nutrients

A better understanding of soil fertility factors that constraint positive crop response to fertilizer inputs will facilitate the improvement of soil nutrient management. In this study, a nutrient omission trial was carried out in a greenhouse condition to identify soil chemical properties limiting in non-responsive soils and to ascertain their effect on soybean (Glycine max) production. The treatments evaluated were control (distilled water), complete nutrient solution (all nutrients), and complete solution with the omission of each of N, P, K, Ca, Mg, and S and micronutrients (Fe, Zn, Cu, Mn, B, and Mo) arranged in a completely randomized design with three replications. After the greenhouse study, the identified limiting nutrients were tested with or without FertiSoil (commercial compost) in a 3 year field experiment. Results of the soil analyses showed low fertility status of the non-responsive soils. The sufficiency quotient index revealed non-responsive soils in all the sites to be predominantly limiting in P and K. The occurrence of other limiting nutrients was also identified: Pishegu (Zn, B), Serekpere (Mg, S), Daffiama Saapare (Ca, Mg, S), and Naaga (Mg, S, Zn, B). The nutrient inputs positively influenced soybean yield response in all the locations. The application of PKZnB with FertiSoil and FertiSoil alone significantly increased soybean grain yields by 585 and 477 kg ha−1, respectively, at Pishegu. Soybean grain yields also increased by 585, 573, and 364 kg ha−1 under the FertiSoil, PKMgS + FertiSoil, and PKMgS applications at Serekpere, respectively. At Daffiama Saapare, the highest (103%) percent increase in soybean grain yield was recorded from the combined application of PKMgSCa and FertiSoil. However, the application of FertiSoil and PKMgSCa singly equally increased soybean grain yield by 77%. Percent soybean grain yield increases of 86, 84, and 74% were observed when PKMgSZnB + FertiSoil, PKMgSZnB, and FertiSoil were applied, respectively, at Naaga. In absolute terms, 83% of the fields had a positive response to mineral fertilizer and 93% to FertiSoil and mineral fertilizer + FertiSoil applications. Organic amendment and/or site-specific fertilizer applications are the best options for alleviating poor or no crop responses to inputs and improve productivity on non-responsive soils.

scholarly journals Yield and Yield Attributing Parameters of Toria (Brassica campestries) under Real Time Rainfall Situation in an Inceptisols of Assam, India

2020 ◽  
pp. 311-321
Author(s):  
R. Borah ◽  
N. Baruah ◽  
P. K. Sarma ◽  
R. Borah ◽  
A. Sonowal ◽  
...  
Keyword(s):  
Field Experiment ◽  
Real Time ◽  
Seed Yield ◽  
Seed Weight ◽  
Growth Yield ◽  
Rabi Season ◽  
Higher Plant ◽  
College Of Agriculture ◽  
Sowing Dates ◽  
Stover Yield

A field experiment was conducted during rabi season of 2018-19 and 2019-20 in Dryland experimental field belong to soil order Inceptisols, Biswanath college of Agriculture, Assam Agricultural University, Biswanath chariali, Assam to study the ‘‘Yield and yield attributing parameters of toria (Brassica campestries) under real time rainfall situation in an Inceptisols of Assam, India’’ under AICRPDA, NICRA. The treatments consisting of 4 different dates of sowing i.e. S1-41th SMW, S2-44th SMW, S3-46th SMW, and S4- 48th SMW, & three variety i.e. V1-JT-90-1(Jeuti), V2-Yellow sarson (Benoy) and V3- TS-38. Growth, yield and yield attributing characters of toria varieties were influenced by different dates of sowing. S1 registered higher plant height (43.2 cm, 92.9 cm and 106.6 cm & 40.2 cm, 89.8 cm and 101.5 cm) and number of branch (3.8, 5.3 and 7.2 & 3.4, 5.1 and 6.9) at 30 DAS, 45 DAS and 60 DAS, respectively, during 2018-19 and 2019-20. Yield attributing characters like number of siliqua, number of seed per siliqua, 1000 seed weight (g) were gradually decreased with advancement of sowing dates. Among the three varieties V1 (Jeuti) recorded highest seed yield (8.9 q ha-1 and 8.1 q ha-1) and stover yield (23.4 q ha-1 and 22.2 q ha-1) in 2018-19 and 2019-20, respectively. Highest HI (28.5% and 25.8%) was recorded in S1 and lowest was recorded in S4 (20.7% and 14.6%).

scholarly journals Evaluation of Sesame Yield and Yield Component under Different NPS Fertilizer Rates in Western Tigray, Ethiopia

2020 ◽  
pp. 1-7
Author(s):  
Teame Shimgabr ◽  
Negasi Gebereslasie ◽  
Haile Alene ◽  
Welesenbet Haftu ◽  
Nebyu Tsegay
Keyword(s):  
Grain Yield ◽  
Seed Yield ◽  
Field Experiments ◽  
Growth Yield ◽  
Yield Component ◽  
Yield Attributes ◽  
Significant Difference ◽  
Fertilizer Rates ◽  
Different Levels ◽  
Number Of Branches

Field experiments were conducted in three sites of Western Tigray, Ethiopia. The experiments aimed at identifying optimum the rate of the newly introduced NPS fertilizer impact with different levels on growth, yield attributes, yield and economics of sesame in vertisols of Western Tigray at the Humera station, Banat and Kebabo Kafta Humera and Tsegede Wereda’s. The treatments consisted of six levels of NPS 0, 50, 100, 150, 200 and 250 kg ha-1 and one blanket recommendation N and P was applied. The experiment was laid out in an RCBD with three replications. Yield of Sesame and yield related components showed significant difference (p < 0.001) compared to control. Results showed that number of branches plant-1, length of pod bearing zone (cm), plant height (cm), number of capsules plant-1, seeds capsule-1 and seed yield was significant differences at (P< 0.001) Grain yield increases from 444.8 kg ha-1 to 671.9 kg ha-1 as NPS and 444.8 kg ha-1 to 628 kg ha-1 as NP increases from 0 (control) to 100 kg ha-1 NPS and 41 kg N and 46 kg P205 ha-1 respectively. But NPS was not significant with blanket recommendation of N and P (41 kg N and 46 kg P205 ha-1), therefore no need to replace the NP by NPS fertilizer in the study area.

scholarly journals Phosphorus and Potassium Fertilizer Application Strategies in Corn–Soybean Rotations

Agronomy ◽  
2018 ◽  
Vol 8 (9) ◽  
pp. 195 ◽  
Author(s):  
Timothy Boring ◽  
Kurt Thelen ◽  
James Board ◽  
Jason De Bruin ◽  
Chad Lee ◽  
...  
Keyword(s):  
Grain Yield ◽  
Seed Yield ◽  
Soybean Seed ◽  
Fertilizer Application ◽  
High Yield ◽  
Yield Response ◽  
Soil Test ◽  
Soil Test P ◽  
Corn Grain ◽  
Corn Grain Yield

To determine if current university fertilizer rate and timing recommendations pose a limitation to high-yield corn (Zea mays subsp. mays) and soybean (Glycine max) production, this study compared annual Phosphorous (P) and Potassium (K) fertilizer applications to biennial fertilizer applications, applied at 1× and 2× recommended rates in corn–soybean rotations located in Minnesota (MN), Iowa (IA), Michigan (MI), Arkansas (AR), and Louisiana (LA). At locations with either soil test P or K in the sub-optimal range, corn grain yield was significantly increased with fertilizer application at five of sixteen site years, while soybean seed yield was significantly increased with fertilizer application at one of sixteen site years. At locations with both soil test P and K at optimal or greater levels, corn grain yield was significantly increased at three of thirteen site years and soybean seed yield significantly increased at one of fourteen site years when fertilizer was applied. Site soil test values were generally inversely related to the likelihood of a yield response from fertilizer application, which is consistent with yield response frequencies outlined in state fertilizer recommendations. Soybean yields were similar regardless if fertilizer was applied in the year of crop production or before the preceding corn crop. Based on the results of this work across the US and various yield potentials, it was confirmed that the practice of applying P and K fertilizers at recommended rates biennially prior to first year corn production in a corn–soybean rotation does not appear to be a yield limiting factor in modern, high management production systems.

scholarly journals Crambe (Crambe abyssinica Hochst): A Non-Food Oilseed Crop with Great Potential: A Review

Agronomy ◽  
2020 ◽  
Vol 10 (9) ◽  
pp. 1380 ◽  
Author(s):  
Dulan Samarappuli ◽  
Federica Zanetti ◽  
Sara Berzuini ◽  
Marisol T. Berti
Keyword(s):  
Erucic Acid ◽  
Seed Yield ◽  
Oil Content ◽  
Negative Impact ◽  
Crop Improvement ◽  
Crop Rotations ◽  
Low Fertility ◽  
Future Research ◽  
Oilseed Crop ◽  
Crambe Abyssinica

Crambe (Crambe abyssinica Hochst) is an oilseed crop in the Brassicaceae family. Crambe’s ability to survive in diverse environmental conditions, its unique oil composition, the high oil content, suitability for the production of slip agents for plasticizers, the capacity to be easily included in common crop rotations, and its adaptability to equipment used for small grain cultivation has renewed the interest in this emerging crop. Crambe is considered one of the main sources of erucic acid, which can be up to 60% of its seed oil content. Erucic acid (C22:1) is a fatty acid with industrial importance since it is used to produce erucamide, key ingredient in the plastic industry. Inclusion of crambe into crop rotations can be beneficial because of its short life cycle, low fertility requirements, resistance to pest and diseases, and relative drought tolerance. Currently high erucic acid rapeseed (Brassica napus L.) (HEAR) is the principal source for erucic acid. However, the risk of contaminating food quality rapeseed (i.e., canola) by cross-pollination and the negative impact on climate, due to high inputs, are potential limitations to expand HEAR cultivation. Crambe has thus great potential to, at least, partially replace HEAR as a source of erucic acid, if the current knowledge-gap in agronomic management and crop improvement (seed yield and quality) can be addressed. Seed yield needs to be increased to be able to compete with HEAR. In addition, reducing glucosinolates and fiber in crambe meal may increase its inclusion in monogastrics rations. The objective of this review was to compile and summarize new and existing information on agricultural practices in crambe production and management to identify gaps in knowledge and areas for future research to increase the cultivation of crambe.

Fertiliser N and P applications on two Vertosols in north-eastern Australia. 1. Comparative grain yield responses for two different cultivation ages

2008 ◽  
Vol 59 (3) ◽  
pp. 247 ◽  
Author(s):  
David W. Lester ◽  
Colin J. Birch ◽  
Chris W. Dowling
Keyword(s):  
Grain Yield ◽  
Yield Response ◽  
Average Yield ◽  
Crop Species ◽  
Winter Cereal ◽  
North West ◽  
The North ◽  
Winter Cereals ◽  
Eastern Australia

Nitrogen (N) and phosphorus (P) are the 2 most limiting nutrients for grain production within the northern grains region of Australia. The response to fertiliser N and P inputs is influenced partly by the age of cultivation for cropping, following a land use change from native pasture. There are few studies that have assessed the effects of both N and P fertiliser inputs on grain yield and soil fertility in the long term on soils with contrasting ages of cultivation with fertility levels that are running down v. those already at the new equilibrium. Two long-term N × P experiments were established in the northern grains region: one in 1985 on an old (>40 years) cultivation soil on the Darling Downs, Qld; the second in 1996 on relatively new (10 years) cultivation on the north-west plains of NSW. Both experiments consisted of fertiliser N rates from nil to 120 kg N/ha.crop in factorial combination with fertiliser P from nil to 20 kg P/ha.crop. Opportunity cropping is practiced at both sites, with winter and summer cereals and legumes sown. On the old cultivation soil, fertiliser N responses were large and consistent for short-fallow crops, while long fallowing reduced the size and frequency of N response. Short-fallow sorghum in particular has responded up to the highest rate of fertiliser N (120 kg N/ha.crop). Average yield increase with fertiliser N compared with nil for 5 short-fallow sorghum crops was 1440, 2650, and 3010 kg/ha for the 40, 80, and 120 kg N/ha, respectively. Average agronomic efficiency of N for these crops was 36, 33, and 25 kg grain/kg fertiliser N applied. This contrasts with relatively new cultivation soil, where fertiliser N response was generally limited to the first 30 kg N/ha applied during periods of high cropping intensity. Response to P input was consistent for crop species, VAM sensitivity, and starting soil test P level. At both the old and new cultivation sites, generally all winter cereals responded to a 10 kg P/ha application, and more than half of long-fallow sorghum crops from both sites had increased grain yield with P application. At the old cultivation site, average yield gain for 10 kg P/ha.crop treatment was 480 kg/ha for all winter cereal sowings, and 180 kg/ha for long-fallow sorghum. Short-fallow sorghum did not show yield response to P treatment.

scholarly journals Detection of Italian Ryegrass in Wheat and Prediction of Competitive Interactions Using Remote-Sensing and Machine-Learning Techniques

2020 ◽  
Vol 12 (18) ◽  
pp. 2977
Author(s):  
Bishwa Sapkota ◽  
Vijay Singh ◽  
Clark Neely ◽  
Nithya Rajan ◽  
Muthukumar Bagavathiannan
Keyword(s):  
Grain Yield ◽  
Seed Yield ◽  
Predictive Models ◽  
Feature Selection Method ◽  
The United States ◽  
High Accuracy ◽  
Italian Ryegrass ◽  
Yield Reduction ◽  
Competitive Response ◽  
Canopy Coverage

Italian ryegrass (Lolium perenne ssp. multiflorum (Lam) Husnot) is a troublesome weed species in wheat (Triticum aestivum) production in the United States, severely affecting grain yields. Spatial mapping of ryegrass infestation in wheat fields and early prediction of its impact on yield can assist management decision making. In this study, unmanned aerial systems (UAS)-based red, green and blue (RGB) imageries acquired at an early wheat growth stage in two different experimental sites were used for developing predictive models. Deep neural networks (DNNs) coupled with an extensive feature selection method were used to detect ryegrass in wheat and estimate ryegrass canopy coverage. Predictive models were developed by regressing early-season ryegrass canopy coverage (%) with end-of-season (at wheat maturity) biomass and seed yield of ryegrass, as well as biomass and grain yield reduction (%) of wheat. Italian ryegrass was detected with high accuracy (precision = 95.44 ± 4.27%, recall = 95.48 ± 5.05%, F-score = 95.56 ± 4.11%) using the best model which included four features: hue, saturation, excess green index, and visible atmospheric resistant index. End-of-season ryegrass biomass was predicted with high accuracy (R2 = 0.87), whereas the other variables had moderate to high accuracy levels (R2 values of 0.74 for ryegrass seed yield, 0.73 for wheat biomass reduction, and 0.69 for wheat grain yield reduction). The methodology demonstrated in the current study shows great potential for mapping and quantifying ryegrass infestation and predicting its competitive response in wheat, allowing for timely management decisions.

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