Genetic modification, a process used to change an organism's genes and hence its characteristics, is now being used to improve trees. Through genetic modification, it is possible to create trees that produce more fruit, grow faster, or withstand adverse conditions. Planting genetically modified trees on a large scale promises to bring a number of benefits.
First, genetically modified trees are designed to be hardier than nature trees; that it, they are more likely to survive than their unmodified counterparts. In Hawaii, for example, a new pest-resistant species of papaya tree has been developed in response to ringspot virus infections that have repeatedly damaged the native papaya-tree population. Planting the genetically modified papayas has largely put an end to the ringspot problem.
Moreover, genetically modified trees promise to bring a number of economic benefits to those who grow them. Genetically modified trees tend to grow faster, give greater yields-of food, fruit, or other products--and be hardier. This allows tree farmers to get faster and greater returns on their farming investment and save on pesticides as well.
Finally, the use of genetically modified trees can prevent overexploitation of wild trees. Because of the growing demand for firewood or building timber, many forests around the world are being cut down faster than they can be replaced. Introducing genetically modified trees--designed for fast growth and high yield in given geographic conditions-would satisfy the demand for wood in many of those areas and save the endangered native trees, which often include unique or rare species.
Both the reading and the listening discusses whether planting large scale genetically modified trees could bring a lot of benefits or not. While the author claims that planting trees that has undergo genetic modification in large quantity would bring a number of advantages and he gave three of such advantages, the professor argue that it doesn’t necessarily brings the benefits as the author suggest by countering each of the benefits presented in the passage.
First of all, the reading claims that modified trees are more likely to survive that natural tree stating an example of a new pest-resistant species of papaya tree in Hawaii to respond to ringspot virus infection. On the other hand, the professor refutes this notion by stating that genetically modifying a tree does not necessarily ensure their survival as different natural tree can be resistant to different condition. He states that a modified tree would only be able to survive a certain attack if the modification is done to respond to such attack. For example, if the tree is modified to respond to temperature, it may not survive if it is exposed to virus that is not designed for.
Second of all, the author said asserts that genetically modified trees would bring a number of economic benefits to those who grow them. Because, it would grow faster, gives greater crop yield and be hardier. In contrast, the lecture states that modification of trees genetically incurs some cost as those that would modify the tree would be paid and the payment may be costly. Thus, it doesn’t give a fast and great return on investment as claimed in the reading.
Lastly, the passage informs that modified trees can prevent overexploitation of wild trees as they would satisfy the demand for wood in a geographical location and save the exploitation of native trees. However, the listening states that genetically modified trees grow more aggressively than natural trees. They would compete with the native trees for resources such as sunlight, climate and whether condition, and space which would eventually crowding the natural trees and hence leads to overexploitation of the wild trees.
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Grammar and spelling errors:
Line 1, column 193, Rule ID: HAVE_PART_AGREEMENT[1]
Message: Use past participle here: 'undergone'.
Suggestion: undergone
...hor claims that planting trees that has undergo genetic modification in large quantity ...
^^^^^^^
Transition Words or Phrases used:
first, hence, however, if, lastly, may, second, so, thus, while, for example, in contrast, such as, first of all, on the other hand
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 10.0 10.4613686534 96% => OK
Auxiliary verbs: 14.0 5.04856512141 277% => Less auxiliary verb wanted.
Conjunction : 10.0 7.30242825607 137% => OK
Relative clauses : 15.0 12.0772626932 124% => OK
Pronoun: 27.0 22.412803532 120% => Less pronouns wanted
Preposition: 36.0 30.3222958057 119% => OK
Nominalization: 12.0 5.01324503311 239% => Less nominalizations (nouns with a suffix like: tion ment ence ance) wanted.
Performance on vocabulary words:
No of characters: 1804.0 1373.03311258 131% => OK
No of words: 353.0 270.72406181 130% => OK
Chars per words: 5.1104815864 5.08290768461 101% => OK
Fourth root words length: 4.33454660006 4.04702891845 107% => OK
Word Length SD: 2.78415062009 2.5805825403 108% => OK
Unique words: 169.0 145.348785872 116% => OK
Unique words percentage: 0.478753541076 0.540411800872 89% => More unique words wanted or less content wanted.
syllable_count: 553.5 419.366225166 132% => OK
avg_syllables_per_word: 1.6 1.55342163355 103% => OK
A sentence (or a clause, phrase) starts by:
Pronoun: 5.0 3.25607064018 154% => OK
Article: 7.0 8.23620309051 85% => OK
Subordination: 2.0 1.25165562914 160% => OK
Conjunction: 1.0 1.51434878587 66% => OK
Preposition: 2.0 2.5761589404 78% => OK
Performance on sentences:
How many sentences: 13.0 13.0662251656 99% => OK
Sentence length: 27.0 21.2450331126 127% => The Avg. Sentence Length is relatively long.
Sentence length SD: 65.6065013375 49.2860985944 133% => OK
Chars per sentence: 138.769230769 110.228320801 126% => OK
Words per sentence: 27.1538461538 21.698381199 125% => OK
Discourse Markers: 10.0769230769 7.06452816374 143% => OK
Paragraphs: 4.0 4.09492273731 98% => OK
Language errors: 1.0 4.19205298013 24% => OK
Sentences with positive sentiment : 10.0 4.33554083885 231% => Less positive sentences wanted.
Sentences with negative sentiment : 3.0 4.45695364238 67% => OK
Sentences with neutral sentiment: 0.0 4.27373068433 0% => More facts, knowledge or examples wanted.
What are sentences with positive/Negative/neutral sentiment?
Coherence and Cohesion:
Essay topic to essay body coherence: 0.231862747347 0.272083759551 85% => OK
Sentence topic coherence: 0.100484434375 0.0996497079465 101% => OK
Sentence topic coherence SD: 0.0482189191191 0.0662205650399 73% => OK
Paragraph topic coherence: 0.152289265663 0.162205337803 94% => OK
Paragraph topic coherence SD: 0.029856674845 0.0443174109184 67% => OK
Essay readability:
automated_readability_index: 16.2 13.3589403974 121% => OK
flesch_reading_ease: 44.07 53.8541721854 82% => OK
smog_index: 8.8 5.55761589404 158% => OK
flesch_kincaid_grade: 13.8 11.0289183223 125% => OK
coleman_liau_index: 12.65 12.2367328918 103% => OK
dale_chall_readability_score: 8.64 8.42419426049 103% => OK
difficult_words: 82.0 63.6247240618 129% => OK
linsear_write_formula: 19.0 10.7273730684 177% => OK
gunning_fog: 12.8 10.498013245 122% => OK
text_standard: 13.0 11.2008830022 116% => OK
What are above readability scores?
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Write the essay in 20 minutes.
Rates: 73.3333333333 out of 100
Scores by essay e-grader: 22.0 Out of 30
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Note: the e-grader does NOT examine the meaning of words and ideas. VIP users will receive further evaluations by advanced module of e-grader and human graders.