So far in this course we have dealt entirely with the evolution of characters that are controlled by simple Mendelian inheritance at a single locus. There are notes on the course website about gametic disequilibrium and how allele frequencies change at two loci simultaneously, but we didn’t discuss them. In every example we’ve considered we’ve imagined that we could understand something about evolution by examining the evolution of a single gene. That’s the domain of classical population genetics. For the next few weeks we’re going to be exploring a field that’s actually older than classical population genetics, although the approach we’ll be taking to it involves the use of population genetic machinery. If you know a little about the history of evolutionary biology, you may know that after the rediscovery of Mendel’s work in 1900 there was a heated debate between the “biometricians” (e.g., Galton and Pearson) and the “Mendelians” (e.g., de Vries, Correns, Bateson, and Morgan). Biometricians asserted that the really important variation in evolution didn’t follow Mendelian rules. Height, weight, skin color, and similar traits seemed to

Human biochemical genetics

Soil Chemical Analysis

Statistical Methods For Agricultural Workers

Estimates of genetic and environmental variability in soybeans (Glycine max. L.) [Egypt].

Introduction. Ecologically Meaningful Germination Studies. Types of Seed Dormancy. Germination Ecology of Seeds with Nondeep Physiological Dormancy. Germination Ecology of Seeds with Morphophysiological Dormancy. Germination Ecology of Seeds with Physical Dormancy. Germination Ecology of Seeds in the Persistent Seed Bank. Causes of Within-Species Variations in Seed Dormancy and Germination Characteristics. A Geographical Perspective on Germination Ecology: Tropical and Subtropical Zones. A Geographical Perspective on Germination Ecology: Temperate and Arctic Zones. Germination Ecology of Plants with Specialized Life Cycles and/or Habitats. Biogeographical and Evolutionary Aspects of Seed Dormancy. Subject Index.

A Definitive Book on Seed Ecology@@@Seeds: Ecology, Biogeography, and Evolution of Dormancy and Germination

Bioethanol production from sesame (Sesamum indicum L.) plant residue by combined physical, microbial and chemical pretreatments.

This study was conducted to assess the pollutant uptake capability of water lettuce (Pistia stratiotes L.) in terms of bioaccumulation, enrichment, and translocation of heavy metals grown in sugar ...

Assessment of plant growth attributes, bioaccumulation, enrichment, and translocation of heavy metals in water lettuce (Pistia stratiotes L.) grown in sugar mill effluent

This study investigated the potential of water lettuce (Pistia stratiotes L.) for removal of copper, iron and mercury (Cu2+, Fe3+ and Hg2+) from their aqueous solution amended at different concentration (5, 10 and 15 mg L−1). The different plant growth attributes viz., fresh plant biomass, total chlorophyll content, kinetic plant growth rate and plant root size were estimated. The results showed that the highest removal of selected metals (Cu2+: 53.20%, Fe3+: 83.20% and Hg2+: 62.14%) was observed in 5 mg L−1 treatment. The fresh plant biomass (Cu2+: 45.57; Fe3+ 90.82 and Hg2+ 47.27 g), chlorophyll content (Cu2+: 2.99 ± 0.03; Fe3+ 4.26 ± 0.06 and Hg2+ 3.02 ± 0.03 mg g−1 fwt), kinetic growth rate (Cu2+: 0.0004; Fe3+ 0.0011 and Hg2+ 0.0006 gg−1day−1) and plant root size (Cu2+: 12.28; Fe3+ 16.54 and Hg2+ 12.86 cm) were maximum in 5 mg L−1 treatment. The translocation factor of Cu2+, Fe3+ and Hg2+) was also   0.05) in the plant tissues. This study suggested that the most efficient remediation of Cu2+, Fe3+ and Hg2+ and the maximum growth of P. stratiotes can be achieved at 5 mg L−1.

Phytoremediation of copper, iron and mercury from aqueous solution by water lettuce ( Pistia stratiotes L.)

The present paper reports the heavy metal uptake by water lettuce (Pistia stratiotes L.) from paper mill effluent (PME) with its prediction modeling studies. Lab scale phytoremediation experiments were performed in glass aquariums to grow P. stratiotes in 0% (bore well water as a control), 25%, 50%, 75%, and 100% concentrations of PME. The influence of pH and heavy metal concentration in PME for the effective uptake and accumulation of heavy metal contents (∆Y: mg/kg) in plant tissues was modeled using two-factor multiple linear regression. The results showed that the selected input variables were supportive to develop prediction models with higher linear regression (R2 > 0.72), high model efficiency (ME: 0.92–0.99), low mean average normalizing error (MANE   Prob values. Kruskal-Wallis one-way post hoc test indicated that the contents of Cd, Cu, Fe, Pb, and Zn in the roots, leaves, and whole plant were affected by PME concentration while the contents of Mn did not. The correlation studies showed that the bioaccumulation of heavy metals was found both element and PME concentration specific. This work represents an effective method to model heavy metal uptake by P. stratiotes from PME. Furthermore, this methodology can also be adopted for predicting effective metal uptake by plant species being used for the phytoremediation of heavy metals from industrial effluents.

Heavy metal uptake by water lettuce (Pistia stratiotes L.) from paper mill effluent (PME): experimental and prediction modeling studies

In this study, anaerobic digestion of Azolla pinnata biomass grown in SIIDCUL effluent for enhanced biogas production was investigated. The nutrient-enriched A. pinnata biomass harvested after phytoremediation of SIIDCUL industrial effluent was subjected to anaerobic digestion for a period of 28 days. Response surface methodology based central composite design having 13 triplicated experimental trials was used to perform anaerobic digestion experiments. Three experimental levels of A. pinnata biomass loading (low: 0%, medium: 40%, and high: 80% inoculated with cow dung) as substrate and temperature (low: 30, medium: 35 and high: 40 °C) were used to maximize the net biogas yield (mL), methane production (%), and COD reduction (%). The maximum reduction of substrate parameters such as total solids (69.41%), organic carbon (69.21%), volatile solids (68.69%), COD (50.18%), and total Kjeldahl’s nitrogen (45.23%) was encountered in medium biomass loading rate (40%) except of pH (21.22) which was maximally reduced in high biomass load (80%) at 35 °C temperature. The highest kinetic rate of COD removal was 0.3383 mg/Lw−1. Overall the modeling results showed maximum predicted biogas yield (3571.14 mL), methane production (55.62%), and COD reduction (52.03%) at 35.36 °C temperature and 49.70% of A. pinnata biomass load, respectively. The findings of this study are helpful for maximized anaerobic digestion of A. pinnata biomass and sequential bioenergy production to meet sustainable fuel demands.

Anaerobic digestion of Azolla pinnata biomass grown in integrated industrial effluent for enhanced biogas production and COD reduction: Optimization and kinetics studies

Jogendra Singh

Papers

Bioethanol production from sesame (Sesamum indicum L.) plant residue by combined physical, microbial and chemical pretreatments.

Assessment of plant growth attributes, bioaccumulation, enrichment, and translocation of heavy metals in water lettuce (Pistia stratiotes L.) grown in sugar mill effluent

Phytoremediation of copper, iron and mercury from aqueous solution by water lettuce ( Pistia stratiotes L.)

Heavy metal uptake by water lettuce (Pistia stratiotes L.) from paper mill effluent (PME): experimental and prediction modeling studies

Anaerobic digestion of Azolla pinnata biomass grown in integrated industrial effluent for enhanced biogas production and COD reduction: Optimization and kinetics studies