scholarly journals Early Relay Intercropping of Short-Season Cotton Increases Lint Yield and Earliness by Improving the Yield Components and Boll Distribution under Wheat-Cotton Double Cropping

Agriculture ◽  
2021 ◽  
Vol 11 (12) ◽  
pp. 1294
Author(s):  
Guoping Wang ◽  
Lu Feng ◽  
Liantao Liu ◽  
Yongjiang Zhang ◽  
Anchang Li ◽  
...  
Keyword(s):  
Yield Components ◽  
Dry Matter ◽  
Fiber Quality ◽  
Economic Benefits ◽  
Lint Yield ◽  
Dry Matter Accumulation ◽  
Promising Alternative ◽  
Double Cropping ◽  
Short Season ◽  
Relay Intercropping

Wheat-cotton double cropping has improved crop productivity and economic benefits per unit land area in many countries, including China. However, relay intercropping of full-season cotton and wheat, the most commonly adopted mode, is labor-intensive and unconducive to mechanization. The direct sowing of short-season cotton after wheat (CAW) has been successful, but cotton yields and economic benefits are greatly reduced. Whether the relay intercropping of short-season cotton before the wheat harvest increases cotton yields remains unclear, as does the earliness and fiber quality relative to those for CAW. Therefore, we directly planted short-season cotton after wheat harvest on 15 June (CAW) as the control and interplanted short-season cotton in wheat on 15 May (S1), 25 May (S2) and 5 June (S3), which were 30, 20 and 10 days prior to wheat harvest, respectively, from 2016 to 2018. The crop growth, yield, yield components, boll distribution, and earliness of the cotton were evaluated. The yields and earliness of short-season cotton under relay intercropping were 26.7–30.6% and 20.4–42.9% higher than those under CAW, respectively. Compared with CAW, relay intercropping treatments increased the boll density, boll weight and lint percentage by 5.6–13.1%, 12.5–24.5% and 5.8–12.7%, respectively. The dry matter accumulation and harvest index under the relay intercropping treatments were also greater than those under CAW, which might be attributed to the greater partitioning of dry matter to the seed cotton than to the boll shells. Among the relay intercropping treatments (S1, S2 and S3), the lint yield did not differ, but S1 and S2 were considerably better than S3 based on earliness and fiber quality. The analysis of the within-plant spatial boll distribution showed that more bolls were formed on the lower to middle fruiting branches and at the first fruiting sites for S1 and S2 than for S3 and CAW. Therefore, the increased earliness and fiber quality induced through early relay intercropping (S1 and S2) could be attributed to an improved spatial boll distribution compared to late relay intercropping (S3) or CAW. Conclusively, compared to late relay intercropping and CAW, early relay intercropping considerably increased the lint yield, fiber quality, and earliness by improving the yield components, boll distribution, and dry matter accumulation and partitioning. The relay intercropping of short-season cotton 20 to 30 days before wheat harvest represents a promising alternative to CAW in wheat-cotton double-cropping systems in the Yellow River Basin of China and other regions with similar conditions.

scholarly journals Comparative Yield, Fiber Quality and Dry Matter Production of Cotton Planted at Various Densities under Equidistant Row Arrangement

Agronomy ◽  
2020 ◽  
Vol 10 (2) ◽  
pp. 232
Author(s):  
Nangial Khan ◽  
Fangfang Xing ◽  
Lu Feng ◽  
Zhanbiao Wang ◽  
Minghua Xin ◽  
...  
Keyword(s):  
Leaf Area Index ◽  
Leaf Area ◽  
Dry Matter ◽  
Plant Density ◽  
Fiber Quality ◽  
Biomass Accumulation ◽  
Lint Yield ◽  
Planting Density ◽  
Area Index ◽  
High Plant Density

The number of cotton plants grown per unit area has recently gained attention due to technology expense, high input, and seed cost. Yield consistency across a series of plant populations is an attractive cost-saving option. Field experiments were conducted to compare biomass accumulation, fiber quality, leaf area index, yield and yield components of cotton planted at various densities (D1, 1.5; D2, 3.3; D3, 5.1; D4, 6.9; D5, 8.7; and D6, 10.5 plants m−2). High planting density (D5) produced 21% and 28% more lint yield as compared to low planting density (D1) during both years, respectively. The highest seed cotton yield (4662 kg/ha) and lint yield (1763 kg/ha) were produced by high plant density (D5) while the further increase in the plant population (D6) decreased the yield. The increase in yield of D5 was due to more biomass accumulation in reproductive organs as compared to other treatments. The highest average (19.2 VA gm m−2 d−1) and maximum (21.8 VM gm m−2 d−1) rates of biomass were accumulated in reproductive structures. High boll load per leaf area and leaf area index were observed in high planting density as compared to low, while high dry matter partitioning was recorded in the lowest planting density as compared to other treatments. Plants with low density had 5% greater fiber length as compared to the highest plant density, while the fiber strength and micronaire value were 10% and 15% greater than the lowest plant density. Conclusively, plant density of 8.7 plants m−2 is a promising option for enhanced yield, biomass, and uniform fiber quality of cotton.

scholarly journals Yield Response of Soybean (Glycine max L.) Genotypes to Water Deficit Stress

2017 ◽  
Vol 19 (2) ◽  
pp. 51-60 ◽  
Author(s):  
Afsana Mimi ◽  
MA Mannan ◽  
QA Khaliq ◽  
MA Baset Mia
Keyword(s):  
Water Stress ◽  
Water Deficit ◽  
Yield Components ◽  
Dry Matter ◽  
Research Field ◽  
Yield Response ◽  
Water Deficit Stress ◽  
Dry Matter Accumulation ◽  
Soybean Genotypes ◽  
Glycine Max L

An experiment was carried out at research field of Agronomy, Department of Bangabandhu Sheikh Mujibur Rahman Agricultural University, Salna, Gazipur from December 2013 to April 2014. Four soybean genotypes viz. i) G 00022 ii) Galarsum iii) BARI Soybean-5 and iv) G 00197 were grown in the field to evaluate the effects of water deficit stress on dry matter accumulation and yield. Plants were subjected to water stress that is irrigation was withdrawn at Blooming stage (R1) and Full Pod (R4 stages up to maturity. Dry matter accumulation, yield and yield components were reduced by the soil water deficit stress and reduction was higher at R1 stage than R4 stage of water stress. Among the genotypes, G 00022 showed the highest tolerance, while G 00197 was highly susceptible in all the water stress conditions. It was found that higher water deficit stress tolerance in G 00022 was associated with higher accumulation of leaf, stem, root and total dry matter under water stress condition.Bangladesh Agron. J. 2016 19(2): 51-60

COTTON RESPONSES TO SHADE AT DIFFERENT GROWTH STAGES: GROWTH, LINT YIELD AND FIBRE QUALITY

2000 ◽  
Vol 36 (1) ◽  
pp. 27-39 ◽  
Author(s):  
D. ZHAO ◽  
D. M. OOSTERHUIS
Keyword(s):  
Yield Components ◽  
Developmental Stages ◽  
Lint Yield ◽  
Photon Flux ◽  
Fibre Strength ◽  
Growth Stages ◽  
Dry Matter Accumulation ◽  
Fibre Quality ◽  
Lint Percentage ◽  
Boll Weight

Photosynthetic photon flux density (PPFD) has variable effects on cotton (Gossypium hirsutum) plant growth, development and lint yield, but little is known about the responses of yield, yield components and fibre quality to low PPFD at different developmental stages. Field studies were conducted in 1993–95 to determine the effects of an 8-d period of shade (63% reduction in PPFD) imposed at different developmental stages (pinhead square (PHS), first flower (FF), peak flower (PF) and boll development (BD)) on cotton growth, lint yield, yield components and fibre quality. Shade for 8 d at the early square stage did not affect cotton growth and yield. Shade during FF, PF and BD increased fruit abscission, and decreased specific leaf weight, dry matter accumulation, lint yield, fibre micronaire, and fibre strength compared with the unshaded control. The detrimental effect of shade on yield increased with later growth stages. Shade at the FF, PF and BD stages decreased lint yield by 18, 34 and 52% in 1993, and by 18, 21 and 29% in 1994 respectively compared with the unshaded control. Shade caused the greatest decrease in the dry weight (DW) of fruits (squares + flowers + bolls) and the smallest decrease in leaf DW among leaves, stems and fruits. Of the three yield components (boll number, boll weight and lint percentage), boll number was the most sensitive to shade. Shade during squaring and early flowering had little effect on average boll weight, and did not affect lint percentage. Decreased yield of cotton shaded during FF and PF appeared to be related to decreased boll retention. Shade during BD decreased both boll retention and average boll weight. Under shade conditions, fibre micronaire and fibre strength were decreased, while other fibre properties were unaffected. These results help explain the yield response of field-grown cotton to low PPFD stress.

scholarly journals Effect of Waterlogging Stress on Dry Matter Accumulation, Photosynthesis Characteristics, Yield, and Yield Components in Three Different Ecotypes of Peanut (Arachis hypogaea L.)

Agronomy ◽  
2020 ◽  
Vol 10 (9) ◽  
pp. 1244
Author(s):  
Ruier Zeng ◽  
Lei Chen ◽  
Xinyue Wang ◽  
Jing Cao ◽  
Xi Li ◽  
...  
Keyword(s):  
Yield Components ◽  
Dry Matter ◽  
Intercellular Co2 Concentration ◽  
Dry Weight ◽  
Tolerance Index ◽  
Dry Matter Accumulation ◽  
Waterlogging Tolerance ◽  
Waterlogging Stress ◽  
Yield And Yield Components ◽  
The Relationship

Waterlogging has a negative effect on peanut production, but few studies have focused on the relationship between the geographical origin and waterlogging tolerance of peanut varieties. To explore this problem, three different peanut ecotypes (Zhanhong 2, Zhongkaihua 1, and Huayu 39) were waterlogged for 5, 10, and 15 days at seedling stage (S), flowering and pegging stage (F), and pod-filling stage (P), respectively. The relationship between the ecotype and waterlogging tolerance was determined by analyzing the effects of waterlogging on dry matter accumulation, photosynthetic characteristics, yield, and the yield components of peanut. The soil and plant analysis development (SPAD), net photosynthetic rate (Pn), stomatal conductance (Gs), transpiration rate (Tr), and intercellular CO2 concentration (Ci) values in leaves decreased under waterlogging stress, which led to a significant decrease in yield and yield components. The most noticeable effect of waterlogging stress appeared at the P stage and deleterious effects increased with an extension of the duration of waterlogging, where the yield loss was mainly attributed to the decrease in the number of total pods (TP) and the number of full pods (FP). Significant relationships were found between total dry weight (TDW), leaf dry weight (LDW), pod dry weight (PDW), TP, and FP, and the waterlogging stress tolerance index (WTI). Additionally, the waterlogging tolerance of peanut ecotypes is closely related to their geographic origin, where the most waterlogging-resistant ecotype was Zhanhong 2, followed by Zhongkaihua 1 and Huayu 39. Finally, breeding backgrounds and screening indices (SPAD, Pn, dry matter accumulation, and pod characteristics) beneficial to waterlogging tolerance breeding are suggested.

scholarly journals Effects of Organic Fertilizer and HB101 Plant Vitalizer on the Growth and Yield of Rice (Oryza sativa L.)

2019 ◽  
Vol 2 (2) ◽  
pp. 357-369
Author(s):  
Nguyen Thi Loan ◽  
Nguyen Ngoc Hung
Keyword(s):  
Grain Yield ◽  
Yield Components ◽  
Dry Matter ◽  
Organic Fertilizer ◽  
Rice Variety ◽  
Tiller Number ◽  
Chicken Manure ◽  
Growth And Yield ◽  
Dry Matter Accumulation ◽  
Area Index

To study the effects of organic fertilizer and HB101 organic plant vitalizer on the growth and yield components of the BH9 rice variety, a field experiment with 4 x 3 factorial design was conducted at Hong Thai commune, Kien Xuong district, Thai Binh province in 2017 summer season using a randomized complete block design with 3 replications. Organic fertilizer derived from chicken manure and peat was applied at 3 levels (0 ton ha-1, 4 tons ha-1, and 6 tons ha-1) while the HB101 plant vitalizer was sprayed in 4 levels (0%, 0.015%, 0.025%, and 0.035%; the amount of water to dilute HB101 was 1000 litre ha-1). The application of the organic fertilizer alone and the combination of organic fertilizer and HB101 positively increased the total tiller number, effective tiller number, leaf area index (LAI), SPAD value, dry matter accumulation, yield components, and grain yield of rice. There were also differences in the SPAD values (at flowering stage), dry matter weight (at active tillering stage), and 1000 grain weight under the influence of the HB101 solution. The combination of 6 tons ha-1 organic fertilizer and  HB101 significantly increased the grain yield as compared to the other treatments, and the highest grain yield (3.03 tons ha-1) was obtained when  organic fertilizer (6 tons ha-1) was applied in combination with HB101 plant vitalizer (0.025%).

Growth and yield response of cowpea to multiaction bioinoculants

2016 ◽  
Author(s):  
S. Jidhu Vaishnavi ◽  
P. Jeyakumar
Keyword(s):  
Yield Components ◽  
Seed Treatment ◽  
Dry Matter ◽  
Seed Protein ◽  
Growth And Yield ◽  
Yield Response ◽  
Dry Matter Accumulation ◽  
Physiological Changes ◽  
Seed Protein Content ◽  
Chlorophyll Index

Studies were taken up to estimate the morpho-physiological changes in cowpea due to a multiaction bioinoculants (TagTeam) as seed treatment. Seed treatment with TagTeam @ 8.1g/kg showed significant increase in plant height, root length and number of nodules as compared to control. Physiological parameters such as leaf area, total dry matter accumulation, photosynthetic rate and chlorophyll index were also found higher in seed treatment with TagTeam @ 8.1g/kg. Co-inocultion of Rhizobium and Penicillium (TagTeam) @ 8.1g/kg enhanced the uptake of NPK in cowpea. Available NPK was found non significant with initial soil sample and found maximum with control and lower content in TagTeam seed treatment @ 8.1g/kg. Seed treatment with TagTeam @ 8.1g/kg increased the yield by 13.36 per cent over control and improved yield components and seed protein content in cowpea.

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