Prediction of aphid and jassid in rainfed Bt cotton using regression models based on abiotic factors

In this paper, we demonstrate that the seasonal dynamics in the abiotic factors, without including seasonal changes in the biological relationships, can appropriately account for the seasonal dynamics of Chrysochromulina spp. This is through the analysis of data on the population dynamics of Chrysochromulina spp. off southern Norway that is evaluated in relation to environmental factors and season by the analyses of 12 year monthly time-series. Chrysochromulina spp. abundance, nutrient concentrations, hydrographical properties, as well as current and wind data were analysed on a monthly scale by means of autoregressive moving average models, principal component analyses (PCA), and linear and nonlinear regression models. Seasonal development of the Chrysochromulina assemblage was well predicted from regression models forced with two PCA components representing seasonal variation in nutrient and chlorophyll a levels and ratios, inflow of North Seawater to the Skagerrak and northeasterly wind along the Norwegian coast. Assuming these to be general results, we might hypothesis that marine algal communities are governed by seasonally varying abiotic factors to a large extent.

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Influence of seed treatment and abiotic factors on damage to Bt and non- Bt cotton genotypes by the serpentine leaf miner Liriomyza trifolii (Diptera: Agromyzidae)

International Journal of Tropical Insect Science ◽

10.1017/s1742758410000275 ◽

2010 ◽

Vol 30 (03) ◽

pp. 127-131 ◽

Cited By ~ 2

Author(s):

M.K. Dhillon ◽

H.C. Sharma

Keyword(s):

Seed Treatment ◽

Abiotic Factors ◽

Leaf Miner ◽

Bt Cotton ◽

Liriomyza Trifolii ◽

Cotton Genotypes

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Associating Land Cover Changes with Patterns of Incidences of Climate-Sensitive Infections: An Example on Tick-Borne Diseases in the Nordic Area

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph182010963 ◽

2021 ◽

Vol 18 (20) ◽

pp. 10963

Author(s):

Didier G. Leibovici ◽

Helena Bylund ◽

Christer Björkman ◽

Nikolay Tokarevich ◽

Tomas Thierfelder ◽

...

Keyword(s):

Land Cover ◽

Habitat Suitability ◽

Regression Models ◽

Abiotic Factors ◽

Disease Incidence ◽

Vegetation Types ◽

Vector Borne Diseases ◽

The Past ◽

Tick Borne Encephalitis ◽

Vector Borne

Some of the climate-sensitive infections (CSIs) affecting humans are zoonotic vector-borne diseases, such as Lyme borreliosis (BOR) and tick-borne encephalitis (TBE), mostly linked to various species of ticks as vectors. Due to climate change, the geographical distribution of tick species, their hosts, and the prevalence of pathogens are likely to change. A recent increase in human incidences of these CSIs in the Nordic regions might indicate an expansion of the range of ticks and hosts, with vegetation changes acting as potential predictors linked to habitat suitability. In this paper, we study districts in Fennoscandia and Russia where incidences of BOR and TBE have steadily increased over the 1995–2015 period (defined as ’Well Increasing districts’). This selection is taken as a proxy for increasing the prevalence of tick-borne pathogens due to increased habitat suitability for ticks and hosts, thus simplifying the multiple factors that explain incidence variations. This approach allows vegetation types and strengths of correlation specific to the WI districts to be differentiated and compared with associations found over all districts. Land cover types and their changes found to be associated with increasing human disease incidence are described, indicating zones with potential future higher risk of these diseases. Combining vegetation cover and climate variables in regression models shows the interplay of biotic and abiotic factors linked to CSI incidences and identifies some differences between BOR and TBE. Regression model projections up until 2070 under different climate scenarios depict possible CSI progressions within the studied area and are consistent with the observed changes over the past 20 years.

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Soil applied potassium improves productivity and fiber quality of cotton cultivars grown on potassium deficient soils

PLoS ONE ◽

10.1371/journal.pone.0250713 ◽

2021 ◽

Vol 16 (4) ◽

pp. e0250713

Author(s):

Shabir Hussain ◽

Hakoomat Ali ◽

Syed Tahir Raza Gardezi

Keyword(s):

Growth Parameters ◽

Abiotic Factors ◽

Fiber Quality ◽

Bt Cotton ◽

Cotton Yield ◽

Seed Cotton ◽

Seed Cotton Yield ◽

K Fertilizer ◽

Improper Use

Cotton (Gossypium hirsutum L.) is considered as the most valuable cash crop of Pakistan. During last decade, its yield has been declined due to various biotic and abiotic factors. Among abiotic factors, improper use of fertilizers is considered very important specially regarding plant defense and yield. This study was conducted to evaluate the effect of different levels (0, 40, 80 and 120 kg ha-1) of K fertilizer (K2O) on different growth parameters of two commercial Bt cotton cultivars (CYTO-301 and IUB-2013) and one non-Bt cultivar (CYTO-142) during 2016 and 2017. Maximum plant height (124–134 cm), dry matter contents (915–1005%), fruiting point (441–462), bolls per plant (96–139), average boll weight (4.2–5.2 g) and seed cotton yield (2524–3175 kg ha-1) and minimum shedding (43–73%) were observed in plots receiving highest dose of K (120 kg ha-1). The CYTO-103 cultivar was found more responsive to K fertilizer as compared to rest of cultivars (CYTO-142 and IUB-2013). Concluding, ideal dose of fertilizer is very important (120 kg ha-1 in our case) for optimum growth and production of good quality fiber with enhanced seed cotton yield.

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Determinants of Economic Analysis of BT Cotton V/S Non-BT Cotton in Tando Allahyar Sindh, Pakistan

10.21203/rs.3.rs-965001/v1 ◽

2021 ◽

Author(s):

Rashid Shar ◽

Absar Jiskani ◽

Yin Qi

Keyword(s):

Regression Models ◽

Simple Random Sampling ◽

Positive Influence ◽

Small Scale ◽

Bt Cotton ◽

Ground Water Quality ◽

Negative Effect ◽

High Yielding Varieties ◽

Small Scale Farmers ◽

Living Circumstances

Abstract Adoption of certified and improved high-yielding varieties is a critical strategy for farmers in developing nations to increase agricultural productivity and living circumstances. The goal of this research was to investigate the factors that influence the adoption of improved cotton varieties by small-scale farmers in Tando Allahyar area of Sindh, Pakistan. In this study, Tando Allahyar area was selected, which is the main area of cotton cultivation. With the help of specially designed questionnaires, Bt cotton and non-Bt cotton data were collected from Better cotton registered farmers through personal interviews. Data were collected by simple random sampling. Descriptive and probabilistic regression models were used for data analysis. The empirical results showed that year of age (P≤ 0.000), House hold size (P≤ 0.092), farm machinery ownership (P≤ 0.000), distance to market (P≤0.005), access to market information (P≤0.003) and ground water quality (P≤ 0.000) had significantly positive influence on adoption of Bt cotton and non-Bt cotton verities, while age (P≤ 0.053) had significantly negative effect, while farming experience (P ≤-0.000), had significantly negative effect.

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