Nimanie Sachithra Hapuarachchi

Mrs. Nimanie Sachithra Hapuarachchi

Griffith University, Brisbane, Queensland, Australia
orcid

Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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20 June 2022 in Agronomy
Verified
Journal Article
Open access
PDF file
NHNimanie Sachithra Hapuarachchi
Nimanie Sachithra Hapuarachchi
WKWiebke Kämper
Wiebke Kämper
HWHelen M. Wallace
Helen M. Wallace
SBShahla Hosseini Bai
Shahla Hosseini Bai
SOSteven Ogbourne
Steven Ogbourne
STStephen Trueman
Stephen Trueman
Boron plays a critical role in pollination and fertilization and can affect fruit set and yield. We applied 0 g, 15 g (manufacturer recommendation) or 30 g boron pre-flowering to Hass avocado trees to determine the effects on fruit set, fruitlet paternity, yield, fruit size, mineral nutrient concentrations and fatty acid composition. The boron applications did not significantly affect the initial fruit set at 3 or 6 weeks after peak anthesis or the proportions of self-pollinated fruitlets or mature fruit. Approximately 88–92% of the mature fruit were self-pollinated. However, applying 30 g boron per tree reduced the fruit set at 10 weeks after peak anthesis by 56% and the final yield by 25%. Attaining > 90% of the maximum yield was associated with foliar boron concentrations being below 104 mg/kg at 6 weeks after peak anthesis and between 39 and 68 mg/kg at 28 weeks after peak anthesis. Applying 15 g boron per tree increased the fruit mass by 5%, fruit diameter by 2%, flesh mass by 9%, flesh boron concentration by 55%, and the relative abundance of unsaturated fatty acids by 1% compared with control trees. Applying the recommended amount of boron provided a good yield of high-quality avocado fruit but applying boron at double the recommended rate reduced the yield.

13 June 2023 in Remote Sensing
Verified
Journal Article
Open access
PDF file
NHNimanie Sachithra Hapuarachchi
Nimanie Sachithra Hapuarachchi
STStephen Trueman
Stephen Trueman
WKWiebke Kämper
Wiebke Kämper
MFMichael Farrar
Michael Farrar
HWHelen M. Wallace
Helen M. Wallace
SBShahla Hosseini Bai
Shahla Hosseini Bai
Rapid assessment tools are required for monitoring crop nutrient status and managing fertiliser applications in real time. Hyperspectral imaging has emerged as a promising assessment tool to manage crop nutrition. This study aimed to determine the potential of hyperspectral imaging for predicting foliar nutrient concentrations in avocado trees and establish whether imaging different sides of the leaves affects prediction accuracy. Hyperspectral images (400–1000 nm) were taken of both surfaces of leaves collected from Hass avocado trees 0, 6, 10 and 28 weeks after peak anthesis. Partial least squares regression (PLSR) models were developed to predict mineral nutrient concentrations using images from (a) abaxial surfaces, (b) adaxial surfaces and (c) combined images of both leaf surfaces. Modelling successfully predicted foliar nitrogen (RP2 = 0.60, RPD = 1.61), phosphorus (RP2 = 0.71, RPD = 1.90), aluminium (RP2 = 0.88, RPD = 2.91), boron (RP2 = 0.63, RPD = 1.67), calcium (RP2 = 0.88, RPD = 2.86), copper (RP2 = 0.86, RPD = 2.76), iron (RP2 = 0.81, RPD = 2.34), magnesium (RP2 = 0.87, RPD = 2.81), manganese (RP2 = 0.87, RPD = 2.76) and zinc (RP2 = 0.79, RPD = 2.21) concentrations from either the abaxial or adaxial surface. Foliar potassium concentrations were predicted successfully only from the adaxial surface (RP2 = 0.56, RPD = 1.54). Foliar sodium concentrations were predicted successfully (RP2 = 0.59, RPD = 1.58) only from the combined images of both surfaces. In conclusion, hyperspectral imaging showed great potential as a rapid assessment tool for monitoring the crop nutrition status of avocado trees, with adaxial surfaces being the most useful for predicting foliar nutrient concentrations.

1 July 2019 in Veterinary World
Verified
Journal Article
Open access
WNW. K. Ramesha Nirmali
W. K. Ramesha Nirmali
LWLakshan Warnakula
Lakshan Warnakula
RCRuwini Cooray
Ruwini Cooray
NHNimanie Sachithra Hapuarachchi
Nimanie Sachithra Hapuarachchi
MMManjula P. S. Magamage
Manjula P. S. Magamage
Background and Aim: Estrogen activity, a central component of reproductive growth, is regulated by the receptor proteins, estrogen receptor alpha (ER alpha), and ER beta (ER beta) in chickens as in many other species. ER alpha expresses predominantly in gonads. Although the expression of ER alpha in embryonic gonads has been studied in detail, the expression of ER alpha in post-hatching male gonads has not been studied adequately. Therefore, the current research was conducted to determine the post-hatching changes in the expression of ER alpha in the left gonads of male chickens with age. Materials and Methods: Shaver Brown male chickens were raised and cared for according to the management guide and sacrificed at the intervals of 1, 4, and 8 weeks of age. The total RNA was extracted from the left gonads using the Trizol method and reverse transcribed using a pair of gene-specific primers. Following polymerase chain reaction amplification, the expression of ER alpha was quantified relative to the expression of the reference gene GAPDH. Results: The results showed that ER alpha expression significantly increases with age at p=0.0032. However, the increment of ER alpha expression from week 1 to week 4 was 2.04-fold and from week 4 to week 8 was 1.39-fold, with the later age reflecting a diminishing pattern in the increment. Conclusion: These results differentiate the post-hatching ER alpha expression of the left gonads of male chickens increase with age but with a diminishing gradient that may support their reproductive functions in later stages of life.