Pub Date : 2024-07-02DOI: 10.9734/ijpss/2024/v36i74801
Barsha Nath, B. P. Gautam, N. Buragohain, R. K. Goswami, B. Bora
The present study was conducted at the Instructional cum Research Farm, Department of Horticulture, Biswanath College of Agriculture, Assam Agricultural University, Biswanath Chariali with an aim to study the effect of vine management on yield, yield attributing factors and quality parameters (which included nutritional factors such as vitamin A, vitamin C) of pumpkin. The treatments were: T1 (Trimming of growing tip of the primary vine at 8th node stage), T2 (Trimming of growing tip of the primary vine at 10th node stage), T3 (Trimming of growing tip of the primary vine at 12th node stage), T4(Trimming of growing tip of the secondary vine at 6th node stage), T5(Trimming of growing tip of the secondary vine at 8th node stage), T6 (Removal of all tertiary vines), T7 (Retention of two tertiary vines) and T8(control without pruning). T3 further recorded the minimum days to appearance of first male (49.17 days), female (58.15 days) flowers, fruit set to harvest duration (51.43 days) and crop duration (110.55 days) while T8 recorded the maximum days. Significant variation was observed in the yield parameters where T3 recorded the maximum number of fruits (6.27),fruit weight (2.47 kg), fruit yield per plant (15.47 kg) and yield per hectare (27.88 t/ha). Fruit characters such as fruit length, fruit diameter and number of seeds revealed no significant differences among the different treatments but with respect to quality parameters pruning revealed significant differences in terms of vitamin A and ascorbic acid content. The experiment thus concluded that the treatment T3 (Trimming of growing tip of the primary vine at 12th node stage) produced the highest yield with higher B: C ratio of 2.52 and it can be recommended to the farmers of Assam in order to maximize the production and productivity of pumpkin.
{"title":"Impact of Vine Management on Yield and Quality Parameters of Pumpkin (Cucurbita moschata)","authors":"Barsha Nath, B. P. Gautam, N. Buragohain, R. K. Goswami, B. Bora","doi":"10.9734/ijpss/2024/v36i74801","DOIUrl":"https://doi.org/10.9734/ijpss/2024/v36i74801","url":null,"abstract":"The present study was conducted at the Instructional cum Research Farm, Department of Horticulture, Biswanath College of Agriculture, Assam Agricultural University, Biswanath Chariali with an aim to study the effect of vine management on yield, yield attributing factors and quality parameters (which included nutritional factors such as vitamin A, vitamin C) of pumpkin. The treatments were: T1 (Trimming of growing tip of the primary vine at 8th node stage), T2 (Trimming of growing tip of the primary vine at 10th node stage), T3 (Trimming of growing tip of the primary vine at 12th node stage), T4(Trimming of growing tip of the secondary vine at 6th node stage), T5(Trimming of growing tip of the secondary vine at 8th node stage), T6 (Removal of all tertiary vines), T7 (Retention of two tertiary vines) and T8(control without pruning). T3 further recorded the minimum days to appearance of first male (49.17 days), female (58.15 days) flowers, fruit set to harvest duration (51.43 days) and crop duration (110.55 days) while T8 recorded the maximum days. Significant variation was observed in the yield parameters where T3 recorded the maximum number of fruits (6.27),fruit weight (2.47 kg), fruit yield per plant (15.47 kg) and yield per hectare (27.88 t/ha). Fruit characters such as fruit length, fruit diameter and number of seeds revealed no significant differences among the different treatments but with respect to quality parameters pruning revealed significant differences in terms of vitamin A and ascorbic acid content. The experiment thus concluded that the treatment T3 (Trimming of growing tip of the primary vine at 12th node stage) produced the highest yield with higher B: C ratio of 2.52 and it can be recommended to the farmers of Assam in order to maximize the production and productivity of pumpkin.","PeriodicalId":14186,"journal":{"name":"International Journal of Plant & Soil Science","volume":"23 31","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141684758","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-02DOI: 10.9734/ijpss/2024/v36i74805
Gummalla Deepthi, Ashwani Kumar
In the kharif season of 2023–2024, a field experiment was carried out at the in Eight treatments—Spinosad 45SC, Ha NPV 1X109ml/min, Neem seed kernel extract 10% WP, Emamectin Benzoate 5%SG, Azadirachtin (Neem oil) 0.03% WSP, Chlorantraniliprole 18.5SC, Bacillus thuringienssis 4% WSP, and untreated Control—were used in the RBD experiment. Each treatment was replicated three times. After the first and second sprays, data on the Helicoverpa armigera larval population showed that all treatments were much beter than the control. Following Chlorantraniliprole (18.5%SC) (0.323) as the least amount of larvae was recorded among all the treatments, Spinosade (45%SC) (0.456), Emamecttin benzoate (5%SG) (0.578), Azadirachtin (Neem oil) 00.03%EC (0.712), Neem seed kernel extract (10% The highest documented larval population in this case was 1x108CFU (1.112) of Bacillus thuringiensis. However, the treatment that produced the best yield (15.36 q/ha) was chlorantraniliprole 18.5% SC. An intriguing outcome was obtained when the cost-benefit ratio was calculated. The study found that, when compared to a control plot of 1:1.04, the most effective and cost-effective treatment was Chlorantraniliprol 18.5 SC (1:3.65), followed by Spinosade 45% SC (1:3.26), Emamectin benzoate 5% SG (1:2.94), and Azadirachtin (Neem oil) 00.03%EC (1:1.89), Neem seed kernel extract 10% WP (1:1.92), Ha NPV 1X109 POB ml/min (1:1.62), and Bacillus thuringiensis 1x108CFU (1:1.58).0.978, 1X 109 POB/ml/min. WP) (0.845), and Ha NPV 1X 109 POB/ml/min (0.978) were the next five treatments.
{"title":"Field Efficacy and Economics of Certain Biopesticides and Chemicals against Gram Pod Borer, Helicoverpa armigera (Hubner) on Greengram [Vigna radiata (L.) Wilczek]","authors":"Gummalla Deepthi, Ashwani Kumar","doi":"10.9734/ijpss/2024/v36i74805","DOIUrl":"https://doi.org/10.9734/ijpss/2024/v36i74805","url":null,"abstract":"In the kharif season of 2023–2024, a field experiment was carried out at the in Eight treatments—Spinosad 45SC, Ha NPV 1X109ml/min, Neem seed kernel extract 10% WP, Emamectin Benzoate 5%SG, Azadirachtin (Neem oil) 0.03% WSP, Chlorantraniliprole 18.5SC, Bacillus thuringienssis 4% WSP, and untreated Control—were used in the RBD experiment. Each treatment was replicated three times. After the first and second sprays, data on the Helicoverpa armigera larval population showed that all treatments were much beter than the control. Following Chlorantraniliprole (18.5%SC) (0.323) as the least amount of larvae was recorded among all the treatments, Spinosade (45%SC) (0.456), Emamecttin benzoate (5%SG) (0.578), Azadirachtin (Neem oil) 00.03%EC (0.712), Neem seed kernel extract (10% The highest documented larval population in this case was 1x108CFU (1.112) of Bacillus thuringiensis. However, the treatment that produced the best yield (15.36 q/ha) was chlorantraniliprole 18.5% SC. An intriguing outcome was obtained when the cost-benefit ratio was calculated. The study found that, when compared to a control plot of 1:1.04, the most effective and cost-effective treatment was Chlorantraniliprol 18.5 SC (1:3.65), followed by Spinosade 45% SC (1:3.26), Emamectin benzoate 5% SG (1:2.94), and Azadirachtin (Neem oil) 00.03%EC (1:1.89), Neem seed kernel extract 10% WP (1:1.92), Ha NPV 1X109 POB ml/min (1:1.62), and Bacillus thuringiensis 1x108CFU (1:1.58).0.978, 1X 109 POB/ml/min. WP) (0.845), and Ha NPV 1X 109 POB/ml/min (0.978) were the next five treatments.","PeriodicalId":14186,"journal":{"name":"International Journal of Plant & Soil Science","volume":"28 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141687872","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-02DOI: 10.9734/ijpss/2024/v36i74803
S. S. Pawar, R. Bankar, N. Khobragade
A field experiment was conducted during 2014-15 and 2015-16 in a thirty years old coconut garden of cultivar Pratap to study the effect of Integrated Use of Manures and Fertilizers on Physico-chemical Properties of Soil and Yield of Coconut (Cocos nucifera L.). Accordingly, treatments were applied to coconut orchard in three splits (viz., Stage I- June, Stage II- October and Stage III- February) in a year. Soil samples were collected periodically before fertilizers application and analysed for different physico-chemical properties (viz., pH, EC and organic carbon). The yield of each palm was recorded throughout the year under experimental plot. The application of RDN through FYM at 25 kg/palm/year + Neem Cake at 15 kg/palm/year + Vermicompost at 6 kg/palm/year (T10) recorded significant increase in pH, EC and organic carbon content in soil of coconut orchard. Also the physico-chemical properties of soil found to be improved during second year over the first year of experimentation. The application of RDF + Azadirachtin + Micronutrients through briquettes (T5) received highest yield of coconut. Therefore, it is concluded that application of RDF along with Azadirachtin and Micronutrients through Konkan Annapurna Briquettes in three splits (i.e. June, October and February) is beneficial for increasing the yield of coconut.
{"title":"Effect of Integrated Use of Manures and Fertilizers on Physico-chemical Properties of Soil and Yield of Coconut (Cocos nucifera L.)","authors":"S. S. Pawar, R. Bankar, N. Khobragade","doi":"10.9734/ijpss/2024/v36i74803","DOIUrl":"https://doi.org/10.9734/ijpss/2024/v36i74803","url":null,"abstract":"A field experiment was conducted during 2014-15 and 2015-16 in a thirty years old coconut garden of cultivar Pratap to study the effect of Integrated Use of Manures and Fertilizers on Physico-chemical Properties of Soil and Yield of Coconut (Cocos nucifera L.). Accordingly, treatments were applied to coconut orchard in three splits (viz., Stage I- June, Stage II- October and Stage III- February) in a year. Soil samples were collected periodically before fertilizers application and analysed for different physico-chemical properties (viz., pH, EC and organic carbon). The yield of each palm was recorded throughout the year under experimental plot. The application of RDN through FYM at 25 kg/palm/year + Neem Cake at 15 kg/palm/year + Vermicompost at 6 kg/palm/year (T10) recorded significant increase in pH, EC and organic carbon content in soil of coconut orchard. Also the physico-chemical properties of soil found to be improved during second year over the first year of experimentation. The application of RDF + Azadirachtin + Micronutrients through briquettes (T5) received highest yield of coconut. Therefore, it is concluded that application of RDF along with Azadirachtin and Micronutrients through Konkan Annapurna Briquettes in three splits (i.e. June, October and February) is beneficial for increasing the yield of coconut.","PeriodicalId":14186,"journal":{"name":"International Journal of Plant & Soil Science","volume":"41 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141688141","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-02DOI: 10.9734/ijpss/2024/v36i74804
T. N. S., Ranshur N. J., Patil S. R., Durgude A. G., Patil M. R., Kamble B. M., Margal P. B., Gaikwad A. S.
The present study was conducted at PGI Research farm, Department of Soil Science and Agriculture Chemistry, Post Graduate Institute, MPKV., Rahuri during Rabi-2021 and Summer-2022. The experiment consist of eight treatments in wheat crop viz., T1: RDN (50% N) + 50% N through FYM, T2: RDN (50% N) + 50% N through vermicompost, T3: RDN (50% N) + 50% N through poultry manure, T4: (50% N) + 50% N through press mud compost, T5: (50% N) + 50% N through goat manure, T6: (50% N) + 50% N through urban compost T7: GRDF (120:60:40 N:P2O5:K2O kg ha-1) + 10 t FYM ha-1 and T8: absolute control. Whereas, in maize crop treatment from T1 to T6 RDN (50% N) is applied with residual N applied to wheat through FYM, vermicompost, poultry manure, goat manure and urban compost, respectively and T7: GRDF (120:60:40 N: P2O5:K2O kg ha-1) + 5 t FYM ha-1 and T8: Absolute control. These treatments replicated thrice in Randomized Block Design. In wheat crop, the grain yield, straw yield, test weight, plant height and spike length recorded higher in treatment T7 (GRDF 120:60:40 N: P2O5:K2O kg ha-1 + 10 t FYM ha-1) under both normal and saline-sodic Inceptisol (27.87 q ha-1, 41.00 q ha-1, 43.72 g, 92 cm and 9.92 cm) and (34.43 q ha-1, 44.02 q ha-1, 42.40 g, 91 cm and 9.82 cm), respectively. Whereas, in succeeding maize crop, the treatment T7 (GRDF 120:60:40 N: P2O5:K2O kg ha-1 + 5 t FYM ha-1) recorded highest grain yield, stover yield, test weight, plant height, length of cob and no. of grains per cob in both normal and saline-sodic Inceptisol (64.11 q ha-1, 74.23 q ha-1, 40.34 g, 237.82 cm, 19.99 cm and 633.02 g) and (52.52 q ha-1, 61.82 q ha-1, 38.63 g, 226.24 cm, 18.74 cm and 579.48 g), respectively. In wheat crop application of treatment T7 (GRDF 120:60:40 N: P2O5: K2O kg ha-1 + 10 t ha-1 FYM) recorded highest total uptake of nitrogen, phosphorous and potassium in both normal and saline-sodic Inceptisol (88.00, 16.00 and 100 N, P and K kg ha-1) and (99.36, 17.20 and 103 N, P and K kg ha-1), respectively. Whereas in succeeding maize crop, total uptake of nitrogen, phosphorous and potassium recorded highest in treatment T7 (GRDF (120:60:40 N: P2O5: K2O kg ha-1 + 5 t ha-1 FYM) in both normal and saline-sodic Inceptisol (107.69, 10.77 and 94.67 N, P and K kg ha-1) and (85.85, 8.58 and 75.47 N, P and K kg ha-1), respectively.
本研究于 2021 年 Rabi 和 2022 年夏季在拉胡里 MPKV 研究生院土壤科学和农业化学系的 PGI 研究农场进行。试验包括小麦作物的八个处理，即 T1：RDN (50% N) + 50% N（通过堆肥），T2：RDN（50% 氮）+ 50%蛭石堆肥氮；T3：T7：GRDF（120:60:40 N:P2O5:K2O kg ha-1）+ 10 t FYM ha-1；T8：绝对对照。而在 T1 至 T6 的玉米作物处理中，通过堆肥、蛭肥、家禽粪便、山羊粪和城市堆肥分别施用 RDN（50% N）和小麦残余 N，T7：GRDF（120:60:40 N:P2O5:K2O kg ha-1）+ 5 t FYM ha-1，T8：绝对对照。这些处理在随机区组设计中重复三次。在小麦作物中，在正常和盐渍化的 Inceptisol 条件下，处理 T7（GRDF 120:60:40 N: P2O5:K2O kg ha-1 + 10 t FYM ha-1）的谷物产量、秸秆产量、测试重量、株高和穗长分别为 27.87 q ha-1、41.00 q ha-1、43.72 g、92 cm 和 9.92 cm，而处理 T8（GRDF 120:60:40 N: P2O5:K2O kg ha-1 + 5 t FYM ha-1）的谷物产量、秸秆产量、测试重量、株高和穗长分别为 34.43 q ha-1、44.02 q ha-1、42.40 g、91 cm 和 9.82 cm。而在后茬玉米中，处理 T7（GRDF 120:60:40 N: P2O5:K2O kg ha-1 + 5 t FYM ha-1）的谷物产量、秸秆产量、测试重量、株高、玉米棒长度和每粒玉米棒粒数均最高。在正常和盐碱浸渍的 Inceptisol 中，施用 T7 处理（64.11 q ha-1、74.23 q ha-1、40.34 g、237.82 cm、19.99 cm 和 633.02 g）和施用 T8 处理（52.52 q ha-1、61.82 q ha-1、38.63 g、226.24 cm、18.74 cm 和 579.48 g）分别获得最高的谷物产量、秸秆产量、试验重量、株高、穗长和每穗粒数。在小麦作物中，施用处理 T7（GRDF 120:60:40 N: P2O5: K2O kg ha-1 + 10 t ha-1 FYM）可在正常和盐渍化的 Inceptisol 中分别获得最高的氮、磷、钾总吸收量（88.00、16.00 和 100 N、P、K kg ha-1）和（99.36、17.20 和 103 N、P、K kg ha-1）。而在玉米后茬作物中，正常和盐渍型 Inceptisol 的处理 T7（GRDF（120:60:40 氮：磷：钾）公斤/公顷+5 吨/公顷的冻土）的氮、磷、钾总吸收量最高，分别为 107.69、10.77 和 94.67 氮、磷、钾公斤/公顷和 85.85、8.58 和 75.47 氮、磷、钾公斤/公顷。
{"title":"Effect of Inorganic Fertilizers and Organic Manures on Growth and Yield Parameters under Wheat-Maize Cropping Sequence Grown on Normal and Saline-Sodic Inceptisol","authors":"T. N. S., Ranshur N. J., Patil S. R., Durgude A. G., Patil M. R., Kamble B. M., Margal P. B., Gaikwad A. S.","doi":"10.9734/ijpss/2024/v36i74804","DOIUrl":"https://doi.org/10.9734/ijpss/2024/v36i74804","url":null,"abstract":"The present study was conducted at PGI Research farm, Department of Soil Science and Agriculture Chemistry, Post Graduate Institute, MPKV., Rahuri during Rabi-2021 and Summer-2022. The experiment consist of eight treatments in wheat crop viz., T1: RDN (50% N) + 50% N through FYM, T2: RDN (50% N) + 50% N through vermicompost, T3: RDN (50% N) + 50% N through poultry manure, T4: (50% N) + 50% N through press mud compost, T5: (50% N) + 50% N through goat manure, T6: (50% N) + 50% N through urban compost T7: GRDF (120:60:40 N:P2O5:K2O kg ha-1) + 10 t FYM ha-1 and T8: absolute control. Whereas, in maize crop treatment from T1 to T6 RDN (50% N) is applied with residual N applied to wheat through FYM, vermicompost, poultry manure, goat manure and urban compost, respectively and T7: GRDF (120:60:40 N: P2O5:K2O kg ha-1) + 5 t FYM ha-1 and T8: Absolute control. These treatments replicated thrice in Randomized Block Design. In wheat crop, the grain yield, straw yield, test weight, plant height and spike length recorded higher in treatment T7 (GRDF 120:60:40 N: P2O5:K2O kg ha-1 + 10 t FYM ha-1) under both normal and saline-sodic Inceptisol (27.87 q ha-1, 41.00 q ha-1, 43.72 g, 92 cm and 9.92 cm) and (34.43 q ha-1, 44.02 q ha-1, 42.40 g, 91 cm and 9.82 cm), respectively. Whereas, in succeeding maize crop, the treatment T7 (GRDF 120:60:40 N: P2O5:K2O kg ha-1 + 5 t FYM ha-1) recorded highest grain yield, stover yield, test weight, plant height, length of cob and no. of grains per cob in both normal and saline-sodic Inceptisol (64.11 q ha-1, 74.23 q ha-1, 40.34 g, 237.82 cm, 19.99 cm and 633.02 g) and (52.52 q ha-1, 61.82 q ha-1, 38.63 g, 226.24 cm, 18.74 cm and 579.48 g), respectively. In wheat crop application of treatment T7 (GRDF 120:60:40 N: P2O5: K2O kg ha-1 + 10 t ha-1 FYM) recorded highest total uptake of nitrogen, phosphorous and potassium in both normal and saline-sodic Inceptisol (88.00, 16.00 and 100 N, P and K kg ha-1) and (99.36, 17.20 and 103 N, P and K kg ha-1), respectively. Whereas in succeeding maize crop, total uptake of nitrogen, phosphorous and potassium recorded highest in treatment T7 (GRDF (120:60:40 N: P2O5: K2O kg ha-1 + 5 t ha-1 FYM) in both normal and saline-sodic Inceptisol (107.69, 10.77 and 94.67 N, P and K kg ha-1) and (85.85, 8.58 and 75.47 N, P and K kg ha-1), respectively.","PeriodicalId":14186,"journal":{"name":"International Journal of Plant & Soil Science","volume":"62 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141688661","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-02DOI: 10.9734/ijpss/2024/v36i74802
V. Balachandrakumar, S. Devi
The field study was conducted to evaluate the organic seed priming of ragi on growth, yield attributes and yield. A field experiment was conducted during 2021 at Experimental Farm, faculty of Agriculture, Annamalai University. It consists of seven treatments. The treatments were arranged in a randomized block design (RBD) with three replications. Results showed that organic seed priming of custard leaf extract has a significant impact on the growth attributes of plant height, LAI, Dry matter production and yield parameters like number of productive tillers per hill, weight of the single ear head per hill, number of fingers per ear head, length of the earhead, number of grains per ear head, grain yield and straw yield. The control treatment recorded the lowest values in all parameters. Maximum grain yield of 1777 kg ha-1 was recorded with organic seed priming of ragi with Custard leaf extract @ 3% (T4) and the lowest grain yield 1003 kg ha-1 was observed with control treatment.
{"title":"Enhancing Ragi Yield: The Effect of Organic Seed Priming","authors":"V. Balachandrakumar, S. Devi","doi":"10.9734/ijpss/2024/v36i74802","DOIUrl":"https://doi.org/10.9734/ijpss/2024/v36i74802","url":null,"abstract":"The field study was conducted to evaluate the organic seed priming of ragi on growth, yield attributes and yield. A field experiment was conducted during 2021 at Experimental Farm, faculty of Agriculture, Annamalai University. It consists of seven treatments. The treatments were arranged in a randomized block design (RBD) with three replications. Results showed that organic seed priming of custard leaf extract has a significant impact on the growth attributes of plant height, LAI, Dry matter production and yield parameters like number of productive tillers per hill, weight of the single ear head per hill, number of fingers per ear head, length of the earhead, number of grains per ear head, grain yield and straw yield. The control treatment recorded the lowest values in all parameters. Maximum grain yield of 1777 kg ha-1 was recorded with organic seed priming of ragi with Custard leaf extract @ 3% (T4) and the lowest grain yield 1003 kg ha-1 was observed with control treatment.","PeriodicalId":14186,"journal":{"name":"International Journal of Plant & Soil Science","volume":"4 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141685003","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-01DOI: 10.9734/ijpss/2024/v36i74800
Shashi Kumar Sah, A. A. David, N. Swaroop, T. Thomas, N. Toppo, Dinesh Kumar Yadav
A field experiment was conducted during the of 2023-24 at the Research Farm, Department of Soil Science and Agricultural Chemistry, Naini Agriculture Institute, Sam Higginbottom University of Agriculture Technology and Sciences, to investigate the Response of different levels of Nitrogen and Foliar application of nano zinc on Soil Health and Yield of Wheat (Triticum aestivum L.). We designed the experiment using a Randomized Block Design (RBD) with 10 treatments and three replications. Results indicated that the application of nano fertilizers significantly influenced various soil physico chemical properties. Bulk density was 1.27Mg m⁻³ to 1.31 Mg m⁻³ at 0-15 cm soil depth, and 1.29 to 1.32 Mg m⁻³ at 0-15 and 15-30 cm soil depth. Particle density was 2.65 to 2.67 Mg m⁻³ at 0-15 cm depth, and from 2.60 to 2.62 Mg m⁻³ at 15-30 cm depth. Pore space was 47.09% to 48.99% at 0-15 cm depth and 47.09% and 48.84% at 0-15 and 15-30 cm depth. Water holding capacity varied between 45.22% and 46.64% at 0-15 cm depth, and 45.14% and 46.89% at 15-30 cm depth. Soil pH was 6.98 to 7.04 at 0-15 cm depth and from 7.00 to 7.05 at 15-30 cm depth. Electrical conductivity (EC) was 0.13 dS m⁻¹ to 0.19 dS m⁻¹ at 0-15 cm depth, and from 0.13 dS m⁻¹ to 0.19 dS m⁻¹ at 15-30 cm depth. Organic carbon content was 0.423%-0.493% at 0-15 cm depth and 0.261% to 0.334% at 15-30 cm depth. The use of NPK and nano zinc also significantly influenced the availability of available nitrogen, phosphorus, potassium, and zinc. These findings suggest that nano fertilizers can effectively enhance soil health and wheat productivity.
{"title":"Response of Different Level of Nitrogen and Foliar Application of Nano Zinc on Physico-chemical Properties of Soil in Wheat (Triticum aestivum. L) Var. PWB-373","authors":"Shashi Kumar Sah, A. A. David, N. Swaroop, T. Thomas, N. Toppo, Dinesh Kumar Yadav","doi":"10.9734/ijpss/2024/v36i74800","DOIUrl":"https://doi.org/10.9734/ijpss/2024/v36i74800","url":null,"abstract":"A field experiment was conducted during the of 2023-24 at the Research Farm, Department of Soil Science and Agricultural Chemistry, Naini Agriculture Institute, Sam Higginbottom University of Agriculture Technology and Sciences, to investigate the Response of different levels of Nitrogen and Foliar application of nano zinc on Soil Health and Yield of Wheat (Triticum aestivum L.). We designed the experiment using a Randomized Block Design (RBD) with 10 treatments and three replications. Results indicated that the application of nano fertilizers significantly influenced various soil physico chemical properties. Bulk density was 1.27Mg m⁻³ to 1.31 Mg m⁻³ at 0-15 cm soil depth, and 1.29 to 1.32 Mg m⁻³ at 0-15 and 15-30 cm soil depth. Particle density was 2.65 to 2.67 Mg m⁻³ at 0-15 cm depth, and from 2.60 to 2.62 Mg m⁻³ at 15-30 cm depth. Pore space was 47.09% to 48.99% at 0-15 cm depth and 47.09% and 48.84% at 0-15 and 15-30 cm depth. Water holding capacity varied between 45.22% and 46.64% at 0-15 cm depth, and 45.14% and 46.89% at 15-30 cm depth. Soil pH was 6.98 to 7.04 at 0-15 cm depth and from 7.00 to 7.05 at 15-30 cm depth. Electrical conductivity (EC) was 0.13 dS m⁻¹ to 0.19 dS m⁻¹ at 0-15 cm depth, and from 0.13 dS m⁻¹ to 0.19 dS m⁻¹ at 15-30 cm depth. Organic carbon content was 0.423%-0.493% at 0-15 cm depth and 0.261% to 0.334% at 15-30 cm depth. The use of NPK and nano zinc also significantly influenced the availability of available nitrogen, phosphorus, potassium, and zinc. These findings suggest that nano fertilizers can effectively enhance soil health and wheat productivity.","PeriodicalId":14186,"journal":{"name":"International Journal of Plant & Soil Science","volume":"22 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141715585","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-01DOI: 10.9734/ijpss/2024/v36i74798
T. Gorai, Nayan Ahmed, Rabi N. Sahoo
Deficiency of soil micronutrients has an adverse impact on crop productivity in intensive agriculture. Plant availability, spatial pattern and distribution of soil micronutrients such as iron (Fe), manganese (Mn), zinc (Zn) and copper (Cu) content in surface soils were evaluated for an agricultural farm in semiarid region of India. Other soil properties viz. soil pH, electrical conductivity (EC), soil organic carbon (SOC) content and equivalent calcium carbonate (CaCO3) content at the farm were also analysed to depict the soil chemical environment, controlling micronutrient availability. Plant available micronutrient contents within farm soils had very high data variability (coefficient of variation >30%). Soil available micronutrients content were negatively correlated with soil pH and positively correlated with SOC content. As per semivariogram analysis, plant available Fe, Mn, Zn and Cu content within farm soils had moderate spatial dependency as indicated by nugget to sill ratio between 0.30 and 0.50 and had spatial parameter ranges of 404, 801, 954 and 1529 m, respectively. Prediction map of plant available Fe content by inverse distance weightage (IDW) method showed a few patches of iron deficiency (< 4.50 mg kg-1) and a marginal level (4.50 - 9.00 mg kg-1). Spatial distribution map of plant available Zn content through lognormal ordinary kriging method indicated a patch of marginal Zn level (0.60 - 1.20 mg kg-1) within the farm soils. Farm scale spatial variability maps of plant available Mn and Cu content, generated by ordinary kriging method with good accuracy and effectiveness, indicated its adequate level with respect to crop nutrition. The spatial distribution maps of soil available micronutrients content for the farm could be served as reference for its precise and site specific management for intensive crop cultivation, higher productivity and profitability.
{"title":"Predictive Mapping of Soil Micronutrients Using Geographic Information System for Site Specific Management Interventions in a Semiarid Farm, India","authors":"T. Gorai, Nayan Ahmed, Rabi N. Sahoo","doi":"10.9734/ijpss/2024/v36i74798","DOIUrl":"https://doi.org/10.9734/ijpss/2024/v36i74798","url":null,"abstract":"Deficiency of soil micronutrients has an adverse impact on crop productivity in intensive agriculture. Plant availability, spatial pattern and distribution of soil micronutrients such as iron (Fe), manganese (Mn), zinc (Zn) and copper (Cu) content in surface soils were evaluated for an agricultural farm in semiarid region of India. Other soil properties viz. soil pH, electrical conductivity (EC), soil organic carbon (SOC) content and equivalent calcium carbonate (CaCO3) content at the farm were also analysed to depict the soil chemical environment, controlling micronutrient availability. Plant available micronutrient contents within farm soils had very high data variability (coefficient of variation >30%). Soil available micronutrients content were negatively correlated with soil pH and positively correlated with SOC content. As per semivariogram analysis, plant available Fe, Mn, Zn and Cu content within farm soils had moderate spatial dependency as indicated by nugget to sill ratio between 0.30 and 0.50 and had spatial parameter ranges of 404, 801, 954 and 1529 m, respectively. Prediction map of plant available Fe content by inverse distance weightage (IDW) method showed a few patches of iron deficiency (< 4.50 mg kg-1) and a marginal level (4.50 - 9.00 mg kg-1). Spatial distribution map of plant available Zn content through lognormal ordinary kriging method indicated a patch of marginal Zn level (0.60 - 1.20 mg kg-1) within the farm soils. Farm scale spatial variability maps of plant available Mn and Cu content, generated by ordinary kriging method with good accuracy and effectiveness, indicated its adequate level with respect to crop nutrition. The spatial distribution maps of soil available micronutrients content for the farm could be served as reference for its precise and site specific management for intensive crop cultivation, higher productivity and profitability.","PeriodicalId":14186,"journal":{"name":"International Journal of Plant & Soil Science","volume":"44 39","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141689732","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-01DOI: 10.9734/ijpss/2024/v36i74799
Karuna, Y. Solanki, Vikram Singh, Navreet Kaur Rai, Nikhil Gangadhar
Background: Studies highlighted the possibilities of simultaneous crop failures in the world’s “breadbaskets” (wheat) due to heat and 40% of the variability in inter-annual wheat production is already related to temperature extremes. The global yield numbers hide the degree of variability of wheat production, yet several environmental conditions pose a threat to wheat production. Objective: The main objective of the study was to develop a regression model that fitted the dependent variable sufficiently well to account for the total variability. Method: For this, sixty advance lines along with four standard checks were evaluated for fifteen yield-associated traits and eight quality traits during Rabi 2020-21 at the research area of Wheat and Barley section, Department of Genetics and Plant Breeding, CCS Haryana Agricultural University, Hisar. Multiple regression analysis revealed that 98.5% of the variability is explained by the studied morphological and quality traits. Result: The stepwise regression analysis retained a total of seven traits (six morphological and one quality) viz. biological yield per plot, harvest index, grain weight per spike, flag leaf length, main spike weight, number of spikelets per spike and grain appearance score; explaining 97.8 % of the total variability. Conclusion: The seventh model among all, indicated good yield predicting performance without modifying the traits.
{"title":"Development of Yield Forecast Model in Bread Wheat Using Regression Analysis","authors":"Karuna, Y. Solanki, Vikram Singh, Navreet Kaur Rai, Nikhil Gangadhar","doi":"10.9734/ijpss/2024/v36i74799","DOIUrl":"https://doi.org/10.9734/ijpss/2024/v36i74799","url":null,"abstract":"Background: Studies highlighted the possibilities of simultaneous crop failures in the world’s “breadbaskets” (wheat) due to heat and 40% of the variability in inter-annual wheat production is already related to temperature extremes. The global yield numbers hide the degree of variability of wheat production, yet several environmental conditions pose a threat to wheat production. \u0000Objective: The main objective of the study was to develop a regression model that fitted the dependent variable sufficiently well to account for the total variability. \u0000Method: For this, sixty advance lines along with four standard checks were evaluated for fifteen yield-associated traits and eight quality traits during Rabi 2020-21 at the research area of Wheat and Barley section, Department of Genetics and Plant Breeding, CCS Haryana Agricultural University, Hisar. Multiple regression analysis revealed that 98.5% of the variability is explained by the studied morphological and quality traits. \u0000Result: The stepwise regression analysis retained a total of seven traits (six morphological and one quality) viz. biological yield per plot, harvest index, grain weight per spike, flag leaf length, main spike weight, number of spikelets per spike and grain appearance score; explaining 97.8 % of the total variability. \u0000Conclusion: The seventh model among all, indicated good yield predicting performance without modifying the traits.","PeriodicalId":14186,"journal":{"name":"International Journal of Plant & Soil Science","volume":"48 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141712406","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-01DOI: 10.9734/ijpss/2024/v36i74796
Patel, D. M., Patel, J. R., Patel, J. C., Patel I. M., Patel, B. T., Singh, N. K.
The present study is titled “Effect of different organic sources on seed yield of rabi fennel (Foeniculam vulgare P. Mill.) under organic farming. It was carried out at Agronomy Instructional Farm of the Chimanbhai Patel College of Agriculture, Sardarkrushinagar Dantiwada Agricultural University, Sardarkrushinagar, Gujarat during Rabi season of the year 2015-16, 2016-17 and 2019-20. Foeniculum vulgare, commonly known as fennel, is a widely recognized and essential medicinal and aromatic plant from the Apiaceae family. This study also examines the impact of organic sourcess in fennel cultivation, highlighting their potential to improve soil structure and microbial biomass. Organic sources, derived from both animal and plant sources, are considered eco-friendly alternatives with long term benefits. Results from the study indicate that for growing rabi fennel under organic farming application of 75% RDN (67.5 kg N/ha) either through castor cake or FYM at the time of sowing along with seed inoculation with Azotobacter and PSB @ 5 ml/kg seed for obtaining higher seed yield and net returns. These findings suggest the potential of organic manures to improve the growth and yield of fennel. In conclusion, this provides an extensive overview of fennel, addressing its botanical characteristics, chemical composition, pharmacological attributes, traditional uses, and agricultural practices. The experimental data highlights the positive impact of organic manures on fennel growth parameters, offering valuable insights for sustainable cultivation practices.
{"title":"Effect of Different Organic Sources on Seed Yield of rabi Fennel (Foeniculam vulgare P. Mill.) under Organic Farming","authors":"Patel, D. M., Patel, J. R., Patel, J. C., Patel I. M., Patel, B. T., Singh, N. K.","doi":"10.9734/ijpss/2024/v36i74796","DOIUrl":"https://doi.org/10.9734/ijpss/2024/v36i74796","url":null,"abstract":"The present study is titled “Effect of different organic sources on seed yield of rabi fennel (Foeniculam vulgare P. Mill.) under organic farming. It was carried out at Agronomy Instructional Farm of the Chimanbhai Patel College of Agriculture, Sardarkrushinagar Dantiwada Agricultural University, Sardarkrushinagar, Gujarat during Rabi season of the year 2015-16, 2016-17 and 2019-20. Foeniculum vulgare, commonly known as fennel, is a widely recognized and essential medicinal and aromatic plant from the Apiaceae family. This study also examines the impact of organic sourcess in fennel cultivation, highlighting their potential to improve soil structure and microbial biomass. Organic sources, derived from both animal and plant sources, are considered eco-friendly alternatives with long term benefits. Results from the study indicate that for growing rabi fennel under organic farming application of 75% RDN (67.5 kg N/ha) either through castor cake or FYM at the time of sowing along with seed inoculation with Azotobacter and PSB @ 5 ml/kg seed for obtaining higher seed yield and net returns. These findings suggest the potential of organic manures to improve the growth and yield of fennel. In conclusion, this provides an extensive overview of fennel, addressing its botanical characteristics, chemical composition, pharmacological attributes, traditional uses, and agricultural practices. The experimental data highlights the positive impact of organic manures on fennel growth parameters, offering valuable insights for sustainable cultivation practices.","PeriodicalId":14186,"journal":{"name":"International Journal of Plant & Soil Science","volume":"39 13","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141709864","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-01DOI: 10.9734/ijpss/2024/v36i74797
Md. Riazul Islam, Md. Shihab Uddine Khan, Nadira Mokarroma, Apurba Saha, A. J. Obaidullah, F. Nasim
A field experiment was carried out at Regional Spices Research Centre, Bangladesh Agricultural Research Institute, Magura during 2021-22 and 2022-23 to find out the effect of nitrogen in premature sprouting of garlic. The two factor experiment was designed in Randomized Complete Block Design (RCB) with three replications. The treatments comprised of three varieties of garlic (BARI Rashun-1, BARI Rashun- 3 and Advance line AS Mag-001) and four dose of nitrogen. Significant differences regarding yield and yield attributes were observed among different treatments. The highest plant height (92.00 cm in 2021-22 and 94.08 in 2022-23), individual bulb weight (30.33 g in 2021-22 and 31.58 g in 2022-23) and yield per hectare (13.30 t/ha in 2021-22 and 13.48 in 2022-23) were obtained from the treatment T4V3 (AS Mag-001 line with nitrogen@ 235kg/ha). The lowest plant height (69.67 cm), number of leaves per plant (7.67), individual bulb weight (23.67 g) and yield per hectare (8.31 t/ha) from the treatment T2V1 (BARI Rashun-3 with nitrogen @ 185kg/ha). The highest number of sprouted plant (43) with maximum incidence (22.88%) were observed in T4V3 (AS Mag-001 line with nitrogen @ 235kg/ha)) where the lowest number of sprouted plant (7) and with minimum incidence (4.55%) were observed in T1V2 (BARI Rashun-3 with nitrogen @ 160kg/ha).
{"title":"Effect of Nitrogen in Premature Sprouting of Garlic (Allium sativum)","authors":"Md. Riazul Islam, Md. Shihab Uddine Khan, Nadira Mokarroma, Apurba Saha, A. J. Obaidullah, F. Nasim","doi":"10.9734/ijpss/2024/v36i74797","DOIUrl":"https://doi.org/10.9734/ijpss/2024/v36i74797","url":null,"abstract":"A field experiment was carried out at Regional Spices Research Centre, Bangladesh Agricultural Research Institute, Magura during 2021-22 and 2022-23 to find out the effect of nitrogen in premature sprouting of garlic. The two factor experiment was designed in Randomized Complete Block Design (RCB) with three replications. The treatments comprised of three varieties of garlic (BARI Rashun-1, BARI Rashun- 3 and Advance line AS Mag-001) and four dose of nitrogen. Significant differences regarding yield and yield attributes were observed among different treatments. The highest plant height (92.00 cm in 2021-22 and 94.08 in 2022-23), individual bulb weight (30.33 g in 2021-22 and 31.58 g in 2022-23) and yield per hectare (13.30 t/ha in 2021-22 and 13.48 in 2022-23) were obtained from the treatment T4V3 (AS Mag-001 line with nitrogen@ 235kg/ha). The lowest plant height (69.67 cm), number of leaves per plant (7.67), individual bulb weight (23.67 g) and yield per hectare (8.31 t/ha) from the treatment T2V1 (BARI Rashun-3 with nitrogen @ 185kg/ha). The highest number of sprouted plant (43) with maximum incidence (22.88%) were observed in T4V3 (AS Mag-001 line with nitrogen @ 235kg/ha)) where the lowest number of sprouted plant (7) and with minimum incidence (4.55%) were observed in T1V2 (BARI Rashun-3 with nitrogen @ 160kg/ha).","PeriodicalId":14186,"journal":{"name":"International Journal of Plant & Soil Science","volume":"4 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141709322","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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