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The results indicate that two independently assorting genes are involved (modified 9:3:3:1 ratio), with white blocking the expression of color by the other gene. The ratio of white : color pups is 3:1, indicating that the F.1 is heterogeneous (W/w). Among colored dogs, the ratio is 3 black : 1 brown, indicating that black is dominant to brown, and the F.1 is heterogeneous (B/b). The original brown dog is w/w ; b/b, and the original white dog is W/W ; B/B. The F.1 progeny are W/w ; B/b, and the F.2 progeny are: 12: 3: 1.
9 W/- ; B/-
3 W/- ; b/b
3 w/w ; B/-
1 w/w ; b/b
white
white
black
brown
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Radiation and mutations can cause changes in the DNA but there arent substances. Ribonucleic acids can cause errors if they match with the wrong acid.
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Automated sensing of macronutrients in hydroponic solution would allow more efficient ... We developed a novel hydroponic culture method using organic fertiliser. ... This relationship was also observed for the HA treatments
Thats a thought though
Ecological models ( physical and computer) enables the Simulation of a large scale ecology which makes it easier to identify an ecological problem and also design a solution in relation to the problem identified.
An ecological model is the simulation of the ecosystem which is used for survey, in order to identify, ecological problems, reveal the properties of the ecology, and also for the testing of scientific hypothesis. which would have been difficult to be carried out on a real ecosystem.
Ecological models can be grouped into; biodemographic, bioenergetic, and biogeochemical. and they are applicable in wildlife conservation and agriculture.
Hence physical and computer ecological models can be used to design a solution for an ecological problem by the simulation of a large scale ecology to identify and design a solution
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The equivalent magnetization (EM) and mantle Bouguer anomaly (MBA) were calculated along the ultraslow-spreading Mohns Ridge axis in the Norwegian-Greenland Sea. The magnetic anomaly and the associated EM were compared with the bathymetry, MBA, seismically determined crustal structure and geochemical data at both the inter-segment scale (>60 km) and the intra-segment scale (20–60 km). At the inter-segment scale, the magnetic highs at the segment centers are independent of the MBA. Of the 13 segments, 9 with magnetic anomalies >700 nT coincide with axial volcanic ridges identified from multibeam bathymetry maps, which suggests that the magnetic highs at the segment centers may be more associated with the extrusive lavas rather than the amount of magma supply. With few exceptions, the magnetic anomaly lows associated with MBA highs at the segment ends increase from south to north. This trend might be explained by thickened extrusive basalts and/or more serpentinized peridotites at the segment ends in the north. At the intra-segment scale, the most prominent features are the decreases in the magnetic anomalies and associated EMs from the segment centers to the ends. The intra-segment magnetic anomalies have positive and negative correlations with the bathymetry and MBA, respectively. The magnetic signal modeled by the seismically determined layer 2A with an assumed constant magnetization is remarkably consistent with the observed magnetic anomaly, which strongly suggests that the thickness of the extrusive basalts dominates the magnetic structure in each segment along the Mohns Ridge. In general, the thickness of the extrusive basalts dominates the magnetic structure along the Mohns Ridge, whereas the contributions from serpentinized peridotites may be significant at the segment ends and may produce long-wavelength magnetic variations. The magnetic data can be used as an indicator of the thickness of the extrusive basalts within segments along the ultraslow-spreading Mohns Ridge.
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